Sökresultat för "AI Engineering"

We’re building real-world AI systems – not just prototypes. If you’ve worked hands-on with LLMs and want to take the next step, we should talk. At Knowit Connectivity, we’re expanding our AI capabilities and looking for experienced engineers and architects who want to design and build production-grade AI solutions together with our clients. About the role As a senior consultant, you’ll work across the full lifecycle of applied AI – from early exploration to deployed, scalable systems used in real environments. You’ll take a leading role in shaping solutions, both technically and strategically, and collaborate closely with clients, developers, and other stakeholders. Typical work includes: Designing end-to-end architectures for AI-powered systems Building and deploying LLM-based applications in production Implementing RAG pipelines over large and complex data sources Developing agent-based workflows and orchestration logic Integrating AI capabilities into existing systems and platforms Evaluating, optimizing, and scaling AI solutions (latency, cost, quality) What we’re looking for We’re primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs (e.g. OpenAI, open-source models) Retrieval-Augmented Generation (RAG) and vector databases Designing production-ready systems (APIs, pipelines, integrations) Python or similar programming languages Working with frameworks like LangChain, LlamaIndex, or similar Prompt engineering, evaluation, and iteration in real-world use cases Experience with system architecture, cloud platforms, or data engineering is a strong plus. Who you are You’re someone who: Has moved beyond demos and wants to build systems that are actually used Enjoys both the bigger picture (architecture, trade-offs) and hands-on implementation Is comfortable taking ownership and guiding technical direction Wants to stay at the forefront of how AI is applied in practice You don’t need to fit a perfect profile – we value different strengths, whether you lean more towards architecture or implementation. Why join us At Knowit, you’ll be part of a team that helps organizations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities, and turn ideas into practical applications. Whether it’s defining a strategy, designing architectures, or building working systems, you’ll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organizations at different stages of their AI maturity – from first use case to scaled solutions Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time We’re building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you’ve already built something real with LLMs – and want to push further – we’d like to hear from you.

Who We Are Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way. Job Summary: We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader. What We Offer: A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach As a Tech Director, AI Engineering at Umain, your role will involve… Commercial impact We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to: Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies. Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this. Technical Leadership: Lead Umain’s strategy in AI/ML Be the client-facing expert Represent Umain AI within Eidra AI Solution Architecture: Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs Help teams choose the right tech Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI Client Engagement & Strategy: Be a primary advisor for clients Create actionable AI strategies to solve complex business problems/challenges Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions Overall accountable for QA and improve deliveries: Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality. Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables Who You Are: You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions

Who We Are Umain, part of the Nordic consulting house Eidra, specializes in accelerating top-line growth through digital strategy and innovation. We’re a fast-growing consultancy already partnering with industry leaders—from cutting-edge automotive brands to forward-looking tech companies. Together with Eidra’s 1200+ strategists, creatives, and engineers spread across Stockholm, New York, and beyond, our vision is to drive the integration of AI, ML, and Data Science in businesses. Now, we’re building a dedicated team to define that future—and we want you to help lead the way. Job Summary: We are looking for a visionary Tech Director in AI Engineering with a proven track record of leading impactful solutions to head Umain’s AI stream, guiding clients through AI adoption complexities while leveraging your skills to secure deal closures, enhance project delivery, and build a top-tier team that positions Umain as an AI Engineering leader. What We Offer: * A leadership role in defining and executing AI strategy for client projects, whilst exploring and pushing the boundaries of applied AI * A dynamic and collaborative work environment where you will significantly influence Umain’s AI direction and build an industry-leading team * The chance to lead multidisciplinary teams in an ambitious setting as you help translate cutting-edge AI concepts into real-world value * Opportunities for professional and personal growth, supported by unique challenges, fantastic colleagues, and a dedicated personal coach As a Tech Director, AI Engineering at Umain, your role will involve… * Commercial impact * We expect that you will play a key role in securing major contracts and driving successful deal closures, while also ensuring the team remains at the forefront of the latest AI advancements. That means that you will scale your expertise to: * Influence clients by establishing trust as a recognized AI authority, seamlessly onboarding them to our methodology, while addressing risks and outlining effective mitigation strategies. * Shape and scope proposal: what are deliverables, what is in/out scope, how to phase and price this. Technical Leadership: * Lead Umain’s strategy in AI/ML * Be the client-facing expert * Represent Umain AI within Eidra AI Solution Architecture: * Architect appropriate AI solutions for clients, ability to understand and communicate trade-offs * Help teams choose the right tech * Understand compliance issues for different markets, have your finger on the pulse legal framework development within AI Client Engagement & Strategy: * Be a primary advisor for clients * Create actionable AI strategies to solve complex business problems/challenges * Good ability to communicate potential, limitation, suitability and risk around AI frameworks/solutions Overall accountable for QA and improve deliveries: * Drive project success by strategically shaping its scope: breaking down complex challenges into manageable parts, prioritizing the key deliverables, and ensuring high-quality outcomes * Direct and oversee the journey to production by guiding the team to focus on critical priorities, clarifying roles and responsibilities, identifying and resolving bottlenecks, addressing overlooked details, maintaining clear client communication, and proactively anticipating potential challenges to enhance delivery quality. * Over time, you’ll establish scalable QA procedures that cater to evolving project demands to ensure consistent excellence and continuous improvement across deliverables Who You Are: * You possess a strong intuition for AI, and understand how to balance trade-offs between its transformative potential and its practical limitations * You have a proven ability to architect and oversee the delivery of complex, scalable AI solutions that meet concrete business needs * You thrive in dynamic consultancy environments, enjoy engaging with clients to translate their business needs and contexts into effective AI strategies * You believe in the power of collaboration and diversity, recognizing the impact you can make by leading and working closely with multi-disciplinary teams * Familiarity with the modern AI stack (e.g., common frameworks like PyTorch/Tensorflow, concepts like transfer learning, PEFT, multi-modal models, MLOps principles) is essential for guiding architectural decisions

We want to create a different kind of banking and shopping experience. Northmill was founded in 2006 and the main office is in Stockholm and Engineering Center site located in Poland. Grab this opportunity to be a part of us and our journey! The scope of your role: As a Senior Applied AI Analyst, you will work across business departments and product engineering teams to discover, analyse and validate high-value opportunities for process automation. This role combines business and process analysis with hands-on AI prototyping and a solid understanding of software engineering. You will work directly with process owners and operational teams to understand how work is performed today, identify bottlenecks and repetitive activities, assess the potential value of improvements, and turn the most promising opportunities into testable AI-enabled solutions. You will actively search for opportunities rather than wait for predefined requirements. Once an idea is validated, you will work with Product Engineers and the AI Platform team to shape the production approach and transfer ownership to the relevant product team. You will be responsible for: Working with process owners and business teams to understand and map existing processes Identifying bottlenecks, manual work and opportunities for AI-assisted or automated workflows Translating business problems into clear use cases, requirements and testable hypotheses Assessing business value, feasibility, data readiness, operational risk and required controls Building and validating lightweight prototypes, independently or together with engineering teams Defining success metrics, acceptance criteria and evaluation scenarios Recommending whether a process should be assisted, partially automated or fully automated Supporting Product Engineers in moving validated solutions toward production Embedding with product teams when needed to support implementation, adoption and knowledge transfer Sharing reusable patterns and providing feedback to the AI Platform Team You will work with: Amazon Bedrock, Amazon Quick and other foundation-model platforms Agentic workflows and tool-based integrations Company data, documents and internal systems REST APIs and event-driven integrations .NET, C# and TypeScript Modern AI development and prototyping tools such as Claude Code, Cursor and GitHub Copilot Required qualifications: 5+ years of commercial experience in software engineering, business analysis, process automation, AI engineering or a related role Strong ability to analyse, map and improve business processes Experience working directly with process owners, operational teams and business stakeholders Ability to turn unclear business problems into structured use cases, requirements and experiments Hands-on experience building or contributing to AI-enabled prototypes or automation workflows Strong product mindset and focus on measurable business outcomes Solid understanding of software engineering, APIs and system integrations Understanding of AI security, privacy and operational risks Preferred qualifications: Experience with Amazon Bedrock, Amazon Quick or similar services Experience with process mining, workflow engines or business-process redesign Experience with agent tools, MCP or AI-enabled integrations Experience with document extraction, classification or knowledge-based AI solutions Experience supporting a solution from discovery through production handover Experience in banking, fintech or another regulated industry About you? You’re a creative and curious person with a genuine passion for software development. Like us, you love learning, staying up to date with the latest tech trends, and writing clean, high-quality code. You’re comfortable sharing your thoughts, raising problems early, and contributing to thoughtful solutions. You thrive in a team environment and have experience working in an Agile setup. As we’re a multicultural team, strong proficiency in English is required. Fluency in Swedish will be a great asset. We offer: A fantastic office in a prime Stockholm location with great spaces and views. An independent role with the opportunity to make a real impact. Great opportunities for professional development. Support for sporting activities (a SEK 5,000 wellness allowance). Life insurance. Breakfast and fruit in the office every day, plus a Friday afternoon coffee break. Regular after-work get-togethers on Fridays and celebrations of successes in the office. About Northmill Bank A Swedish bank with the heart in the technique. 2.500 merchants. 600.000 end users. over 300 employees in 3 different countries, including Engineering Center hiring c.a. 90 experienced engineers. The goal? To improve financial life by being digital, yet personal. Apply today and be a part of Northmill!

BUILD SOMETHING MONUMENTAL FOR HEALTHCARE! At Tandem Health we’re reimagining healthcare by putting clinicians first. Our platform - designed by clinicians, for clinicians - is built on deep insight into real-world pain points, with intuitive medical notes and workflows that truly support patient care. We’re a fast-scaling health-tech company backed by top investors and expanding globally. We move fast, stay curious, and believe building something that matters starts with an extraordinary team. If you're passionate about impact and innovation, we'd love to meet you! ABOUT THE ROLE We're looking for an experienced and passionate AI Engineer to join us in building a cutting-edge, LLM-centered application that will transform the healthcare experience in Europe. This is an opportunity to work at the intersection of advanced AI, intuitive design, and real-world impact — all in a fast-paced startup environment where the best ideas win. You'll be part of a world-class team shaping the future of healthcare delivery with powerful, production-grade LLM technology. WHAT YOU WILL DO * Design and build a full-stack, LLM-driven application — from intuitive UI to seamless backend model integration * Monitor and improve a highly utilized LLM application already in production * Iterate quickly to incorporate the latest advancements in LLMs, infrastructure, and user feedback into the product * Own the end-to-end delivery of features and solutions, from idea to deployment * Work cross-functionally with product, design, and engineering to drive real user outcomes WHAT YOU BRING * A strong background in AI engineering, especially with LLM-centric products * Proven experience shipping production-grade applications, ideally in fast-paced or startup environments * A bias toward action, comfort with ambiguity, and a passion for tackling complex problems * A collaborative spirit — you're excited to work with top-tier teammates and contribute to a culture where the best ideas thrive * Experience with our core stack: Python, TypeScript, React, Kubernetes * Motivation to help reshape European healthcare, and enjoy the journey while doing it BONUS POINTS * Familiarity with Microsoft-based infrastructure: C# for Windows apps, Azure for cloud hosting * Hands-on experience using or integrating LLMs like GPT or speech models like Whisper * Prior work in healthcare tech or regulated environments LOCATION We believe the best ideas happen when we’re together. This role is based in our vibrant HQ in the Epicenter building in the heart of Stockholm where you will work primarily from our office to collaborate, connect, and build our culture. HOW TO APPLY We adopt a continuous selection process, so please make sure to apply with your CV in English. Our interview process consists of 4 stages: 1. Screening interview with Talent Acquisition 2. Technical interviews with some of our Engineering team 3. System Design Interview at our office - Join us in the Stockholm office for a lunch and a Product focused System Design interview to experience our culture firsthand, collaborate with our team, and see how you work in action. 4. Follow-up interview with our CTO & Co-Founder We're currently in the middle of vacation season, which means it may take us a little longer to review applications and get back to you. Thanks for your patience - we're looking forward to reading your application! BENEFITS * Competitive salary & company stock options * 30 days/year of paid vacation * 5,000 SEK wellness allowance (friskvårdsbidrag) plus an additional 6,000 SEK yearly to spend on other health related initiatives * Generous Parental leave top-up for new parents * Private Medical Insurance to stay healthy * Mental health support through our partner Mindler * Pension program * Social and team-building activities (off-sites, after works, winter/summer parties) * An opportunity to make a real positive impact in the world of healthcare * Work with some of the best minds in AI, healthcare, and engineering. We review our benefits packages on a regular basis and might modify our benefits from time to time. CULTURE AT TANDEM At Tandem, we move fast, think big, and take ownership. We're a high-performing, diverse team with a shared drive to change the future of healthcare - and we’re just getting started. Our culture is built on action, ambition, and learning. You'll be trusted to take the lead, challenge yourself, and make an impact from day one. We believe real growth happens when you're stretched, supported, and surrounded by smart, passionate teammates who want to win together. Even though we’re spread across countries, we come together often in Sweden for team meetings, social events, and offsites - blending global reach with real human connection. We hire for talent, potential, and attitude - valuing different backgrounds and fresh perspectives. Great ideas come from everywhere, and we’re building a team that reflects the world we want to change. Tandem handles sensitive patient data and will conduct a background check before hiring any candidate.

ABOUT FATHOM We created Fathom to eliminate the needless overhead of meetings. Our AI assistant captures, summarizes, and organizes the key moments of your calls, so you and your team can stay fully present without sacrificing context or clarity. From instant, searchable call summaries to seamless CRM updates and team-wide sharing, Fathom transforms meetings from a source of friction into a place for alignment and momentum. We’re a small company that creates magical experiences through the hard work of focused builders. We try to live our values - Care Deeply, Seek Leverage, Share Ownership, Sustain Urgency, and Be Tenacious - in everything we do, every day. We started Fathom to rid us all of the tyranny of note-taking, and people seem to really love what we've built so far: 🥇 #1 Most Used App of the Year on HubSpot for 2025 🔥 #1 Rated on G2 with 4,500+ reviews and a perfect 5/5 rating 🥇 #1 Product of the Day and #2 AI Product of the Year 🚀 Most installed AI meeting assistant on both the Zoom and HubSpot marketplaces 📈 We’re hitting revenue and usage records every week We think you’ll be pretty excited about Fathom too if you give it a try. Sign up today (it’s free)! Role Overview As an AI Engineer at Fathom, you'll be hands-on with LLMs, prototyping and refining our features. Your work will directly shape our product by generating practical specifications that steer our engineering team towards impactful updates and novel capabilities. This role is a bit of a hybrid of engineering // analytics // product management // research. It would suit someone already in an AI Engineering role as well as software engineers or data scientists that have gone deep into building AI features. This role is open to the US only, and does require 3 days per week in-office in San Francisco, California. What you’ll do * By 30 Days, you will have * Upgraded existing features to be smarter and/or faster by combining your prompt engineering experience with the latest available models. * Improved or created new evaluations for our existing features. * By 90 Days, you will have * Prototyped new AI features that address valuable use cases. * Fine-tuned models for our specific needs. * Developed new processes to speed-up how we migrate to new AI models. SHOW OFF IN YOUR APPLICATION! (IMPORTANT) When applying, include a quick demo of something you made with LLMs that you’re really excited about. It should showcase your fit for the role. Include it in any form you’d like (such as a link to a short video or a repo). REQUIREMENTS Hard Skills * Experience with prompt engineering – able to prompt LLMs to achieve outstanding and reliable outcomes. * Proficient in Python and able to hack together end-to-end prototypes. * Foundational analytics (able to manipulate data in Python or SQL). * Masters degree in a related field * Previous experience in fine-tuning LLMs is highly desirable. Soft Skills * Attention to detail, and a high level of scrutiny for impactful applications of LLMs. * Curiosity-driven and pragmatic with a focus on delivering results. * A generalist mindset with the ability to dive deep into a wide range of challenges. * Resilience and an ability to grind through complex problems. * Openness to disagreement and commitment to decisions once made. * Strong collaborative skills, with the ability to explain complex insights in an accessible manner to both technical and non-technical audiences * Independence in managing one’s workload and priorities WHAT'S IN IT FOR YOU * The opportunity to shape the foundational software services of a growing company * A role that balances innovation and incremental improvement * A dynamic and collaborative engineering team * Competitive compensation and benefits * A supportive environment that encourages innovation and personal growth WHY YOU SHOULD JOIN US * Opportunity for impact. We’re established enough to ship instead of fighting fires and early enough that your work will have a real impact. * Startup experience. You’ll work closely with our CEO, a 2X Founder/CEO with a background in computer science and product design. * We embrace being fully remote. We schedule meetings sparingly and instead heavily use async comms (Slack, Notion, Loom) ABOUT THE INTERVIEW * You’ll meet the entire team. We think it’s important that you get to meet everyone you’ll be working with. * No bullshit. Ask us anything you like. We’ve never understood why companies pretend they’re something that they’re not in the hiring process - you’re going to find out eventually so we’d rather you know who we are up front so we can both make sure this is a good fit for all involved. * Quick turnaround time. We know you have lots of options so we move fast usually in less than a week from start to finish.

Join our newly formed AI Product Discovery team and work closely with skilled developers in building the next-generation search experience within Voyado Elevate. Voyado Elevate already has a powerful and proven search engine. Now, we are adding an intelligent layer on top, an AI-driven Product Discovery Agent for Search that transforms how users interact with products, navigation, and intent. As a new team, you will be part of shaping our ways of working, defining our architecture, and setting the technical roadmap for how AI agents should integrate with and enhance our search platform. ABOUT THE ROLE AND DAY-TO-DAY This role sits at the intersection of backend development, AI engineering, and product innovation. As a subsystem team in an organization inspired by Team Topologies, we collaborate closely with other product teams while owning the AI Product Discovery layer. Our mission is to build intelligent agents that orchestrate search recommendations and navigation, interpret user intent, and create a completely new discovery interface experience. The role involves hands-on development, writing code primarily in Java and/or Python, and designing and orchestrating AI agents. You will work with prompt engineering and structured output optimization to ensure high-quality, reliable results, while building smart integrations between LLMs and our search engine. A key part of the work is continuously improving response times and reducing inference costs to create scalable and efficient solutions. You will also contribute to the technical roadmap and architectural decisions, proactively prototype new ideas, and evaluate emerging AI technologies to ensure we stay at the forefront of innovation. Some things will vary depending on product needs and experiments. Some things are constant: SOME OF THE THINGS YOU AND THE TEAM WILL BE UP TO: * Design and build AI agents for search and product discovery, using Java and/or Python. * Work hands-on with prompt engineering and continuous optimization * Map agent logic towards our existing search infrastructure * Optimize for latency, scalability, and cost-efficiency (LLM usage, orchestration, caching, etc.) * Evaluate new technologies in a rapidly evolving AI landscape * Contribute to architecture discussions and long-term technical direction * Write production-grade code and monitor performance in real environments * Design and implement APIs And when the time comes when you need a break, why don't you spend some time in the gym, tinker in our puzzle corner, or challenge our Åre office in Call of Duty on our PlayStation 5? 🎮 SO, WHO ARE YOU? You don’t just follow AI trends, you actively build with them. Agentic coding is already a natural part of how you develop software, and collaborating with LLMs feels as intuitive as writing code yourself. Writing prompts to generate, refactor, and reason about code is a natural extension of your engineering workflow. At the same time, your interest goes beyond just experimenting as you thrive on building real products. You enjoy turning ideas into robust, production-ready systems and combining AI-native development patterns with solid software engineering principles. And since this is a newly formed team, you’re excited not only to build the product but also to shape how we build it, driving evaluation frameworks, testing strategies for LLM-based systems, and establishing pragmatic, high-quality ways of working for AI-driven development. Besides those personal skills, we believe you have the following: * A Master's degree in Computer Science, or a comparable industry career * Strong backend development experience * Practical experience working with LLMs and AI APIs * Experience or strong interest in prompt engineering and agent design * An understanding of performance optimization and cost-aware system design * And most importantly, passion for what you do, innovation & continuous improvement If you are interested in algorithmic problem-solving, that's meritorious. SOME OF THE TECHNOLOGIES YOU’LL GET TO WORK WITH Voyado Elevate is built with Java and kept up to date with the latest version * Java * Python * LLMs (OpenAI, Anthropic or Similar) * AWS * Github Actions SO, WHAT'S IN IT FOR YOU? 🍬 * A lovely worksite in Lund, we just opened our Voyado house on Gasverksgatan. * Flexible working hours and a hybrid work approach. We're on-site at least three days a week * Work-life balance – We don't have a long work-hours culture; we value results over hours worked * As we strive for our employees to share Voyado’s passions and goals, you should demand no less from us. With regular one-on-ones, we make sure your needs and career have a great future at Voyado * Joining an engaged team and colleagues with a knowledge-sharing and friendly culture Some of our benefits: * A health hour each week, use it for walks, running, or working out – whatever you need to energize * Our own gym at the office * 30 days of vacation so that you can spend time with family and friends * 5000 SEK in wellness allowance * Encouragement to further develop personally and professionally with certifications, meetups, etc. * Beneficial bike lease, including e-bikes * Your choice of phone and gadget package  READY TO FIND OUT MORE? Lovely! 🎉 Before one applies it can always feel like you need a better resume, more polish, or just another year of experience, but we say if you think this sounds like a place where you can shine don't hesitate to send in your resume! VACATION PERIOD! As we are heading out for the vacation period, feedback on your application might take a little longer than usual. Don't hesitate to send in your application, though; we'll do our best in getting back to you as soon as possible! 🌴

TL;DR We’re looking for an exceptional software engineer with a systems mindset to build and evolve the core software behind the future of AI software engineering. You will design, ship, and own critical services and systems that power Lovable - making sure they're fast, reliable, and ready for whatever scale throws at them. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for Deep experience building and operating production infrastructure as a Software Engineer, Systems Engineer, Site Reliability Engineer or similar. You write clean, performant code and understand what happens all the way down - from the API layer to the runtime. Familiarity with container orchestration and sandboxing at a level deeper than configuration. You understand how schedulers, runtimes, and isolation boundaries actually work, not just how to deploy on top of them. Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar) You have a track record of designing services that handle high throughput and unpredictable load at a global tech company or scale-up. You’re comfortable navigating ambiguity and solving problems as they arise. You care about security, stability, and speed and know when to make trade-offs between them. You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. What you’ll do In one sentence: Design, build and own the systems that makes AI engineering work for everyone. Design, build and maintain the systems that enable our AI product, such as: Gvisor-based runtime environment for running agentic workloads. A high-throughput sandbox scheduler across multiple cloud providers, built on deep understanding of the orchestration layer rather than off-the-shelf abstractions. Harden our infrastructure against failures, downtime, and slowdowns. Support our growth by making sure that our infrastructure never becomes a bottleneck. Plan and implement our network infrastructure and cloud strategy. Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable software engineers are capable of working across the whole stack. Examples of tech in our stack include: Frontend: React and Typescript. Backend: Golang and Rust. Cloud: Cloudflare, GCP, AWS, Modal. Data: Clickhouse, Firestore, Spanner, BigQuery. DevOps & Tooling: CI/CD pipelines, OTEL, Kubernetes, Terraform. And always on the lookout for what's next! About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

TL;DR: We're seeking exceptional senior engineers and technical leaders for our Platform team, who own the infrastructure that powers Lovable's AI product and the developer experience that lets our engineering teams move at maximum velocity. Why Lovable? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * 10+ years in platform, infrastructure, or developer experience engineering, with a track record operating at senior engineering levels. * Deep experience building and operating in one or more of: production infrastructure, platform engineering, or developer experience (observability, CI/CD, application frameworks, productivity tooling). * Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar), with a track record of designing high-throughput services at scale — and/or experience writing code and tools to support growing engineering orgs in scale-ups. * Solid working knowledge of Docker, Kubernetes, and modern infrastructure practices; ideally with understanding that goes deeper than configuration — how schedulers, runtimes, and isolation boundaries actually work * You ship high-leverage systems fast and know when to make trade-offs between security, stability, and speed. * You're comfortable navigating ambiguity and driving clarity at an organisational level, not just technically. * You're based in Stockholm or ready to relocate — this is an on-site, 5-days-a-week role. What you’ll do In one sentence: We build and own the systems and developer platform that make AI engineering work and keep our engineering teams the most productive in the world. * Design, build and maintain the core systems that enable our AI product, including a gVisor-based runtime for agentic workloads and a high-throughput sandbox scheduler across multiple cloud providers. * Bring order and structure to our codebase; integrate or build application frameworks to support a growing engineering organisation. * Own and develop our observability stack, from code instrumentation through ingestion to presentation. * Harden our infrastructure against failures, downtime, and slowdowns — ensuring it never becomes a bottleneck to growth. * Plan and implement our network infrastructure and cloud strategy. * Integrate tools for AI-driven development across the engineering org. * Identify and drive reliability improvement efforts across all engineering teams. Our tech stack We're building with tools that both humans and AI love. Lovable platform engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps Tooling: CI/CD pipelines, OTEL, Grafana, kubernetes, terraform. * Local Tooling: Nix, DevEnv. And always on the lookout for what's next! About your application Please submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested, please apply through our careers portal.

TL;DR We’re looking for an exceptional software engineer with a systems mindset to build and evolve the core software behind the future of AI software engineering. You will design, ship, and own critical services and systems that power Lovable - making sure they're fast, reliable, and ready for whatever scale throws at them. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE’RE LOOKING FOR * Deep experience building and operating production infrastructure as a Software Engineer, Systems Engineer, Site Reliability Engineer or similar. * You write clean, performant code and understand what happens all the way down - from the API layer to the runtime. * Familiarity with container orchestration and sandboxing at a level deeper than configuration. You understand how schedulers, runtimes, and isolation boundaries actually work, not just how to deploy on top of them. * Strong proficiency in at least one systems-oriented language (Go, Rust, C++, or similar) * You have a track record of designing services that handle high throughput and unpredictable load at a global tech company or scale-up. * You’re comfortable navigating ambiguity and solving problems as they arise. * You care about security, stability, and speed and know when to make trade-offs between them. * You’re based in Stockholm or ready to relocate - this is an on-site, 5-days-a-week role. WHAT YOU’LL DO In one sentence: Design, build and own the systems that makes AI engineering work for everyone. * Design, build and maintain the systems that enable our AI product, such as: * Gvisor-based runtime environment for running agentic workloads. * A high-throughput sandbox scheduler across multiple cloud providers, built on deep understanding of the orchestration layer rather than off-the-shelf abstractions. * Harden our infrastructure against failures, downtime, and slowdowns. * Support our growth by making sure that our infrastructure never becomes a bottleneck. * Plan and implement our network infrastructure and cloud strategy. * Identify and drive reliability improvement efforts across all engineering teams. OUR TECH STACK We're building with tools that both humans and AI love. Lovable software engineers are capable of working across the whole stack. Examples of tech in our stack include: * Frontend: React and Typescript. * Backend: Golang and Rust. * Cloud: Cloudflare, GCP, AWS. * Data: Clickhouse, Firestore, Spanner, BigQuery. * DevOps & Tooling: CI/CD pipelines, OTEL, Kubernetes, Terraform. And always on the lookout for what's next! About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. At Valtech, we are helping global organizations transform how they operate through Data, AI, and emerging Agentic systems. As an AI Platform Engineer, you will lead multidisciplinary teams building AI-powered applications, intelligent workflows, copilots, and agent-based solutions that create measurable business impact. We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  THE ROLE   Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of the Americas and occasionally in Europe. WHAT YOU'LL DO AI ENGINEERING LEADERSHIP * Lead the design and delivery of enterprise AI applications, copilots, assistants, and agentic solutions. * Define implementation strategies that align AI capabilities with business objectives and user needs. * Guide teams in building scalable AI workflows, retrieval systems, orchestration layers, and tool-integrated experiences. * Drive best practices across prompt engineering, retrieval-augmented generation (RAG), tool calling, context management, testing, observability, and evaluation. * Ensure high-quality, maintainable, and secure AI implementations. CLIENT & STAKEHOLDER ENGAGEMENT * Partner with clients to understand business challenges and identify AI-powered opportunities. * Translate ambiguous requirements into practical implementation approaches and technical roadmaps. * Act as a trusted advisor during workshops, discovery sessions, and executive presentations. * Collaborate closely with Data Scientists, Data Engineers, Architects, Analytics Engineers, Product teams, and business stakeholders. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED QUALIFICATIONS * 7+ years of experience in software engineering, AI engineering, machine learning engineering, or related fields. * 2+ years of experience leading technical teams or managing engineering professionals. * Strong experience building AI-powered applications and LLM-enabled solutions in production environments. * Hands-on experience designing and implementing: * Generative AI applications * Agentic workflows * Retrieval-Augmented Generation (RAG) solutions * Tool-calling and workflow orchestration patterns * API-driven integrations * Advanced Python development experience. * Experience working with Microsoft Azure * Experience working with cloud-based AI platforms and services. * Strong stakeholder management and communication skills. ---------------------------------------------------------------------------------------------------------------------------------- PREFERRED QUALIFICATIONS * Experience delivering AI solutions within consulting, digital agencies, or enterprise environments. * Experience leading multiple workstreams simultaneously across clients or business units. * Familiarity with AI governance, responsible AI practices, security, and privacy considerations. * Knowledge of evaluation frameworks for AI applications and agentic systems. * Experience supporting distributed, international engineering teams. ---------------------------------------------------------------------------------------------------------------------------------- WHAT SUCCESS LOOKS LIKE * Delivering scalable, production-ready AI solutions that generate measurable business value. * Building high-performing AI Engineering teams through coaching and mentorship. * Promoting reusable implementation patterns and engineering best practices. * Ensuring reliable, secure, and responsible AI adoption across projects. * Strengthening Valtech's leadership position in AI-powered digital transformation. ---------------------------------------------------------------------------------------------------------------------------------- If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  COMMITMENT TO REACHING ALL KINDS OF PEOPLE  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a full-time position based in Montreal and Toronto. The offered salary range is $95,000 to $130,000 annually, depending on experience and location.  Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service.  * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1.  * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us. ----------------------------------------------------------------------------------------------------------------------------------

Göteborgs universitet möter samhällets utmaningar med mångsidig kunskap. 58 000 studenter och 6800 medarbetare gör universitetet till en stor och inspirerande arbetsplats. Stark forskning och attraktiva utbildningar lockar forskare och studenter från hela världen. Med ny kunskap och nya perspektiv bidrar Göteborgs universitet till en bättre framtid. Institutionen för data- och informationsteknik har en internationell prägel med cirka 300 anställda från över 30 olika länder. Institutionen är en integrerad institution med både Göteborgs universitet och Chalmers tekniska högskola som huvudmän. Institutionen för data- och informationsteknik söker en doktorand. Anställningen är placerad vid avdelningen Interaktionsdesign och Software Engineering, med Göteborgs universitet som arbetsgivare. Avdelningen är ledande inom forskning och utbildning om komplexa, programvaruintensiva system, med starka internationella samarbeten och nära band till den lokala industrin. Med cirka 50 forskare – inklusive doktorander, postdoktorer och lärare på alla nivåer – är vi en av de största akademiska forskningsgrupperna inom programvaruteknik världen över. Vår kärnkompetens omfattar AI-teknik, programvarutestning, kravhantering, beteendemässig programvaruteknik och programvaruteknik för fordonsindustrin. Universitetsgemensam information om vad det innebär att vara doktorand vid Göteborgs universitet kan du finna på universitetets doktorandsidor: https://www.gu.se/forskarutbildning Arbetsuppgifter    Vi söker nu tre doktorander inom Software and AI Engineering med inriktning mot kontinuerlig regelefterlevnad i programvaruintensiva system. Tjänsterna ingår i ett större forskningssamarbete mellan akademiska och industriella partners inom bland annat fordonsindustrin, telekommunikation, flyg- och rymdindustrin, industriell automation, tillverkningsindustri och säkerhetskritiska system.   De tre doktoranderna kommer att arbeta med olika men kompletterande aspekter av kontinuerlig regelefterlevnad. Mer information om projektet och programmet finns här:   https://www.chalmers.se/en/current/news/cse-ai-to-enable-continuous-compliance-in-software-and-ai-systems/    https://www.vinnova.se/en/news/2026/05/350-million-for-project-that-will-change-swedish-industry/   För mer information, se ledigkungörelse i Göteborgs universitets rekryteringsportal.    Forskarutbildning omfattar fyra års heltidsstudier och leder fram till en doktorsexamen. Inom ramen för din doktorandanställning kan du ha institutionstjänstgöring i en omfattning av max 20 % av heltid fördelat under hela utbildningstiden vilket i så fall genererar motsvarande förlängning av utbildningstiden. Institutionstjänstgöring omfattar vanligtvis undervisning på grundnivå och avancerad nivå, men även forskning och administration kan ingå.   Behörighet    För tillträde till forskarutbildning på forskarnivå krävs grundläggande och i förekommande fall den särskilda behörighet som är fastställd i den allmänna studieplanen för forskarutbildningsämnet. Grundläggande behörighet till forskarutbildning på forskarnivå har den som: 1. avlagt examen på avancerad nivå, eller 2. fullgjort kursfordringar om minst 240 högskolepoäng, varav minst 60 högskolepoäng på avancerad nivå, eller 3. på annat sätt inom eller utom landet förvärvat motsvarande kunskaper.   Bedömningsgrund    Urval bland sökande som uppfyller krav på grundläggande och särskild behörighet baseras på förmågan att tillgodogöra sig forskarutbildningen. Det är viktigt att i din ansökan redovisa för ditt arbete med avhandlingar och artiklar som du har skrivit eller varit medförfattare till. Länkar till relevanta projekt bör inkluderas där det är relevant. Flytande engelska (både i tal och skrift) är ett krav. Svenska är inget krav, men institutionen erbjuder kurser i Svenska.   För mer information om kvalifikationer relevanta för denna tjänst, se ledigkungörelse i Göteborgs universitets rekryteringsportal.   Antagning och anställning    Efter du har blivit antagen till forskarutbildning kommer du att erhålla en doktorandanställning vid Göteborgs universitet. Bestämmelser för anställning som doktorand återfinns i förordning SFS 1993:100.     Den första anställningen som doktorand får gälla högst ett år och får förnyas med högst två år i taget.   En doktorand får som längst vara anställd som doktorand under åtta år men den sammanlagda anställningstiden får inte vara längre än vad som motsvarar utbildning på forskarnivå på heltid under fyra år.   Universitetet tillämpar lokalt avtal om lönesättning av doktorander. Anställningsform: Tidsbegränsad anställning, HF 5 kap 7§ Omfattning: 100% heltid Tillträde: 2026-09-01 eller enligt överenskommelse   Forskarutbildningen vid data- och informationsteknik kräver fysisk närvaro för att genomföra studierna. Om den som antas behöver uppehållstillstånd för att bedriva studier i Sverige, har Data- och informationsteknik rätt att återkalla beslut om antagning i det fall den antagne inte kan uppvisa ett giltigt uppehållstillstånd vid datumet för studiestart.    Kontaktuppgifter för doktorandplatsen    Upplysningar om projektet lämnas av Eric Knauss eric.knauss@gu.se eller Miroslaw Staron miroslaw.staron@gu.se     Ansökan    Du ansöker om att bli antagen till forskarutbildning via Göteborgs universitets rekryteringsportal. Du som sökande ansvarar för att ansökan är komplett i enlighet med annonsen och att den är universitetet tillhanda senast sista ansökningsdag. Ansökan ska skrivas på engelska.    Ansökan ska vara inkommen senast: 2026-08-16    Universitetet arbetar aktivt för en arbetsmiljö med jämställda förhållanden och sätter värde på de kvalitéer mångfald tillför verksamheten. Enligt Riksarkivets föreskrifter är universitetet skyldigt att förvara ansökningshandlingar i två år efter tillsättningsbeslutet. Om du som sökande till en anställning särskilt begär tillbaka dina handlingar återsänds de när de två åren har förflutit, i annat fall kommer de att gallras ut. Till bemannings- och rekryteringsföretag och till dig som är försäljare: Göteborgs universitet anlitar upphandlad annonsbyrå i samband med rekrytering av personal. Vi undanber oss vänligen men bestämt direktkontakt med bemannings- och rekryteringsföretag samt försäljare av jobbannonser.

Are you ready to step into a role where your work truly matters? At Cybersecurity within Sandvik Group IT, your expertise directly shapes how we protect a global organization. We’re looking for a Solution Architect who wants to elevate our cybersecurity capabilities and stay ahead in a rapidly evolving digital landscape. You become a key enabler of Sandvik’s Global Security Operations – a central part of our cybersecurity service and the backbone of how we detect, respond and defend at scale. Your new team Join our Detect & Respond Platforms team that is all about collaboration, transparency, and knowledge sharing – joining forces to tackle challenges and strengthen Sandvik’s security posture. As part of the team, you’ll help enable Global Security Operations by delivering expertise, support, and maintenance for critical security tools, with a strong focus on Microsoft E5 security solutions and Azure technologies. About the job As a senior Solution Architect for Detect & Respond Platforms, you translate business requirements into secure IT solutions that meet our high security standards. Your ability to interpret business challenges, recommend best practices and design robust solutions makes you a key technical leader in our cybersecurity organization. You work independently while collaborating closely with your team and architects across the Cybersecurity domain. You provide technical guidance, ensure alignment with business strategy, and support others when challenges are complex. You take initiative, push boundaries and bring a proactive mindset that drives security innovation and inspires those around you. Job responsibilities Lead solution design and ensure continuous improvement in your area Solve complex problems with an innovative and broad perspective Influence and mentor others in policies, practices, and procedures Lead technology development for Detect & Respond platform products Research emerging technologies and recommend architectural enhancements Develop long-term technology roadmaps aligned with product area direction Location & flexibility This position is flexible within Sweden, with a hybrid setup. The team is primarily based in Stockholm, with occasional collaboration and presence in Sandviken. Your profile You have a proven background as a hands-on solution architect in Azure, preferably from global organizations. You also have a strong grasp of security best practices including threat detection, incident response, and vulnerability assessment. Navigating complex security landscapes comes naturally, and you have a collaborative mindset with excellent communication skills in English; Swedish is a plus. Your background includes: Deep knowledge of SIEM, preferably Microsoft Sentinel Expertise in one or several programs such as: Microsoft E5, Sentinel, XDR, Defender for Endpoint, Rapid7 or Defender for Cloud Familiarity with Infrastructure in Code Solid knowledge of Azure infrastructure and network fundamentals. Confident in scripting and automation using PowerShell, Python or similar Excellent communication skills in English; Swedish is a plus What would make you stand out from other applicants is a strong understanding of AI engineering in Security Operations, hands‑on experience with external attack surface management, or proven knowledge shown through Azure security certifications. Our culture Our role is clear – through every action, every day, we make the shift and advance the world through engineering. We believe in an inclusive, equal and open-minded culture, and we nurture our diversities to form a solid foundation for achieving great results. Add fair and rewarding benefits, as well as many different career options. Are you intrigued? Visit our website, LinkedIn or Facebook page to get to know us further. Contact information For further information about this position, please contact Therese Rutqvist, recruitment specialist, therese.rutqvist@sandvik.com We’ve already decided on which advertising channels and marketing campaigns we wish to use and respectfully decline any additional contacts in that matter. Union contacts – Sweden Malena Rackner, Unionen, +46 (0)70 242 33 90 Tord Engström, Akademikerföreningen, +46 (0)76 106 62 87 Peter Olsson-Andrée, Ledarna, +46 (0)70 222 48 55 Hiring Manager: Petra Englund At Sandvik, we value a healthy work-life balance and will be away on summer vacation. Therefore, it can be difficult to reach us, and the recruitment process might take longer than usual. How to apply Send your application no later than August 12, 2026. Click apply and include your resume and cover letter in English. Please note that we don’t accept applications by e-mail. Job ID: R0093411. We aim for an open and fair recruitment process and use different tools to ensure objective assessment. Later in the process, you may be invited to complete a personality and logic test. To learn more about our recruitment process, please visit our career site or contact HR Services at hrservices.sweden@sandvik.com. Sandvik is a global, industrial technology group providing solutions that enhance productivity, profitability and sustainability for the manufacturing, mining and infrastructure industries. We are at the forefront of digitalization and focus on optimizing our customers’ processes. Our world-leading offering includes equipment, tools, services and digital solutions for machining, mining, rock excavation and rock processing. In 2025 the Group had approximately 42,000 employees and revenues of about SEK 121 billion in more than 150 countries.

SUMMARY OF THE ROLE: At Maze, we're building AI-powered vulnerability management at a moment when generative AI is fundamentally changing what's possible in cybersecurity. Our engineering team is small, fast, and technically elite — and we're hiring an Engineering Director who is the same. This is not a coordination role. It is a senior technical leadership role for someone who earns respect by being on the tools, thinks deeply about architecture, and happens to be exceptional at growing engineers and running a high-performance org. You'll work in close partnership with our CTO, Santiago, taking ownership of a growing set of teams and tech leads as we scale from 20 to 35+ engineers. Your success will be measured the same way everyone's is at Maze: by the customer value and revenue impact of what your teams ship — not by process compliance, headcount growth, or delivery cadence. You'll have genuine accountability over a portion of the engineering org, with tech leads reporting to you, and you'll be expected to know your teams' codebases well enough to make good decisions, spot problems early, and earn the trust of every engineer who works with you. The person we're looking for has probably been the most senior technical person in a fast-moving 10–20 person engineering team — a CTO, VP, or Head of Engineering at a startup — and is ready to bring that energy and credibility to a company with more firepower behind it. If you want to stay close to the code, grow exceptional engineers, and help shape an org that will define how AI-native security companies are built, this is that role. YOUR CONTRIBUTIONS TO OUR JOURNEY: * Own engineering leadership for a growing portion of our org: Take clear accountability for a set of small, high-output product teams (typically 3–5 engineers each), with tech leads reporting directly to you. Ensure every team has unambiguous priorities, strong support, and everything they need to move fast. * Stay close to the technical work: Engage directly with architecture decisions, code reviews, and technical discussions across your teams. We expect you to spend meaningful time understanding what each team is building — not as a gatekeeper, but as a trusted technical voice who can contribute, challenge, and improve. * Grow the engineering leaders of Maze's future: Take ownership of career development, performance management, and coaching for tech leads and senior engineers in your teams. Build the kind of trust with engineers that comes from genuinely knowing their work, their growth areas, and their ambitions — not from generic 1:1s. * Drive cross-team coordination without creating bureaucracy: Own the planning and coordination layer that keeps multiple small teams aligned and unblocked. Keep it lightweight, decision-focused, and in service of engineering velocity — not process for its own sake. * Lead technical hiring: Take ownership of engineering hiring within your area, from defining the bar and shaping interview processes to closing exceptional candidates. The quality of who we hire is one of the highest-leverage things either of us can do. * Build the org we need to scale: Work closely with Santiago to design team structures, identify emerging leaders from within, and evolve how we operate as the team doubles. We grow leaders from the inside where we can — you'll be central to identifying, developing, and empowering the next generation. * Maintain technical excellence as we grow: Partner with tech leads to uphold code quality, shared engineering practices, and high standards across the org — without letting process replace judgment. WHAT YOU NEED TO BE SUCCESSFUL: * Technical credibility that engineers will respect: A strong engineering background with the ability to meaningfully engage in architecture discussions, code reviews, and technical decisions. You don't need to be the best coder in the room, but you need to be in the room for the right reasons. * Experience as the most senior technical leader of a small, high-output team: You've been a CTO, VP Engineering, or Head of Engineering at a startup — or a tech lead in a similarly fast-moving environment — where you were accountable for both technical outcomes and the people delivering them. You know what it looks like to lead 10–20 engineers, not just manage them. * Genuine people leadership, not just org design: A proven track record of performance management, career development, and growing engineers into leaders. You've had hard conversations, made difficult calls, and built cultures where high performance and high support coexist. * The hands-on instinct: You're drawn to being close to the work. You'd rather understand a problem by reading the code than by reading a status update. You see "staying technical" as a feature of your leadership style, not a tension with it. * Comfort with small-team operating models: Experience working in environments where teams are lean, fast, and expected to figure things out — not environments where scale compensates for speed. You know how to get a lot done with a little. * Strong hiring instincts: You've been deeply involved in engineering hiring — defining the bar, building processes, closing candidates — and you have strong opinions about what great looks like. * A business owner's mindset: You measure yourself by customer outcomes and revenue impact. You push your teams to understand why they're building what they're building, not just how. * Nice to Haves: * Experience in cybersecurity, AI, or security tooling — or a genuine interest in the domain and willingness to go deep quickly. * Founder or early-stage startup experience, particularly having built an engineering org from a small base. * Familiarity with agentic AI systems, LLMs, or ML-adjacent engineering — not as a researcher, but as someone who's built or led teams building on top of these technologies. * Experience managing distributed teams. WHY JOIN US: * Ambitious challenge: We're using generative AI — LLMs and agents — to solve some of the most pressing problems in cybersecurity today. The engineering challenges are genuinely hard, the domain matters, and we're early enough that the architectural decisions you make will define the platform for years. * Expert team: We are a team of hands-on leaders with experience at Big Tech and high-growth scale-ups, including teams behind multiple acquisitions and an IPO. We hire for quality over speed and it shows. * Impactful work: Cybersecurity is a force for good. The products your teams build directly help security teams protect their organisations against real attacks. The mission isn't decorative. * Build an AI-native engineering org from the ground up: We're designing the team structure, culture, and ways of working with a blank sheet of paper, in an era where agentic coding tools are changing what small teams can accomplish. You'll shape that from the start. * Real ownership and a clear growth path: You'll have genuine accountability over a meaningful portion of the organisation from day one, with a direct partnership with Santiago and significant equity upside as we scale.

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.