
Xensam AB · Stockholm
Xensam: Join the Future of SAM Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environmen...
Xensam: Join the Future of SAM Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI.
Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we’re scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it.
Together, we build the future of SAM.
About the role
We're looking for an AI Enablement Engineer to help make AI a natural part of how we work at Xensam.
In this role, you'll partner with teams across the business to identify opportunities where AI and automation can create real value. You'll design, build, and maintain AI-powered solutions that simplify workflows, improve productivity, and help our teams focus on what matters most.
You'll work across Marketing, Sales, HR, Finance, Operations, Product, and Engineering, combining technical expertise with business understanding to turn ideas into practical solutions. This is a hands-on role with the opportunity to shape how AI is adopted across the entire company.
Responsibilities
Build and maintain AI-powered solutions and automations tailored to each department's needs, from document processing and customer support to internal knowledge management
Drive AI adoption across the company by being accessible, patient, and practical. Help teams move from unfamiliar with AI to confident users
Design and develop reusable AI components, prompts, and workflows that different departments can leverage
Experiment, iterate, and evaluate new models, frameworks, and approaches. Stay ahead of the curve so we're not playing catch-up
Automate intelligently by knowing when to use deterministic, repeatable processes and when to lean on AI for non-deterministic workflows and analytics
Build and manage self-hosted AI infrastructure including open-source models (Llama, Qwen, etc.), inference APIs, RAG pipelines, vector databases, and the rest of the stack
Build AI solutions on top of existing platforms like ChatGPT, Codex, and other commercial APIs, integrating them into internal workflows and tools
Educate and mentor colleagues, running workshops/hackathons and creating documentation that makes AI accessible to everyone, regardless of technical background
Partner with every department (operations, HR, finance, marketing, etc.) to understand their workflows and identify where AI or automations can add value
Qualifications
3+ years of software development experience
Strong experience with Python and API integrations
Experience building solutions with LLMs and modern AI frameworks
Experience working with RAG, vector databases, or agent frameworks
Experience integrating commercial AI platforms such as ChatGPT, Codex, or similar
Experience working with open-source AI models and inference platforms
Comfortable working with Linux, Docker, and self-hosted environments
Strong problem-solving skills and a passion for building practical solutions
Excellent communication skills and the ability to collaborate with both technical and non-technical teams
Fluent in English, both written and spoken
Bonus points if you have
Experience with workflow automation platforms (e.g. n8n, Make, Temporal)
Experience with cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI)
Experience with MLOps or deploying machine learning systems into production
Experience fine-tuning or hosting open-source language models
Contributions to open-source projects or a portfolio of AI side projects
What you get
A generous work culture with free drinks and snacks, office massages, and more.
Three days in-office (with remote work on Mondays and Fridays).
An opportunity to shape your career growth while contributing to the company’s success.
A dynamic position embracing "freedom under responsibility".
If sales targets are met, all employees enjoy an annual destination trip.
Other location-specific benefits.
Our values at Xensam
Rebellious We challenge the norm and act with initiative – always with responsibility.
Humane We foster a caring, inclusive environment that values diversity and respects individuality.
Harmony We value balance and create a supportive workplace where people thrive.
As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.
We are looking for an AI Enablement Engineer. Your mission is to develop and improve our AI capabilities, and make these available across the company. As an AI Enablement Engineer, you will work with the design, implementation, and scaling of AI architecture and solutions. You will follow industry trends connecting the potential of AI with organizational functions. Working closely with senior stakeholders and cross-functional teams, you will ensure that technical solutions align with high impact opportunities and strategic business goal. By translating AI advancements into production-ready skills, agents, frameworks, data and process, you will drive the radical workplace productivity that will build AI into our corporate DNA and future-proof our organization. What you will be doing Define how AI solutions are structured, integrated, and scaled across our company, ensuring they are secure, maintainable, and built on solid data foundations Work closely with senior stakeholders to map processes, identify friction points, and prioritise where AI can drive the most meaningful productivity gains Build and maintain reusable assets that the whole company benefits from e.g. skill libraries, agent templates, integration patterns, and governance guidelines Monitor the evolving AI landscape and bring relevant advancements back into the organisation as practical, production-ready capabilities Contribute to building AI literacy and capability, to build AI confidence and embed an AI-first way of working Partner with Product Platform and Engineering teams to accelerate AI adoption with within the SDLC Ensure AI solutions meet production standards: secure, observable, and maintainable on our GCP stack What you will do the first 3-6 months in the role Get to know our company and where we are on our AI journey. Begin to influence our AI journey. Establish yourself as a key contributor for AI related matters and get a first few things into live use! Who are you? You are a solution-oriented and self-driven professional with a proactive attitude and a strong sense of ownership. You combine technical curiosity with a deep understanding of how a company functions, enabling you to navigate complex environments and collaborate effectively with both technical and non-technical stakeholders. You have the technical depth to implement the "how" using AI. You enjoy a fast-moving setting where priorities can shift, remaining calm and focused under pressure while championing a culture of continuous learning and innovation. Skills and Experience Software engineering background (not just ML theory) Hands-on experience with LLM APIs (Anthropic, Copilot, OpenAI etc.) Hands-on experience with Google Cloud AI (Vertex AI, Gemini, Bigquery etc) Experience from working with SaaS products, ideally from within the Retail software industry Good to have - experience from even driven Enterprise Architecture Strong communicator - comfortable running demos and writing docs, train the trainer Getting an idea of our Tech Stack We want to give you an idea of the technical landscape here at Extenda Retail. As a heavy adopter of cloud, we have solutions in Google Cloud Platform (Cloud Run, Pub/Sub, Vertex AI, Gemini). We embrace a reactive microservice architecture and utilize Kafka in Confluent Cloud. In our tech stack, you will also find GitHub Actions, Kubernetes, Jira, and Confluence. Our AI strategy is anchored in leveraging these tools to build a high-velocity, agent-first workforce. About Extenda Retail Extenda Retail is a leading SaaS provider within retail technology. Our solutions span from cutting-edge Warehouse Management Systems (WMS) and cloud native POS to unified commerce solutions with machine learning and loyalty solutions. We own the entire product lifecycle, from vision and creation to implementation and support, offering our clients a comprehensive and seamless experience. We are passionate about helping businesses optimize their operations, improve efficiency, and achieve sustainable growth.
ABOUT THE ROLE We are seeking a hands-on, technically fluent engineer to drive the adoption of AI across our entire development organization - someone who finds the friction in how teams work and turns it into automated, AI-powered solutions. As our AI Enablement Engineer, you will embed with engineering and product teams to identify where AI can remove repetitive, manual work, then build and ship the solutions that make it happen. You will work closely with our AI Efficiency Architects and AI Evangelist to turn high-level AI strategy into concrete, measurable wins on the ground. This role is ideal for someone who enjoys variety, moves fast, and gets real satisfaction from seeing their work adopted and relied upon by teams across the company. Your Mission Accelerate how the entire development organization works by finding high-impact use cases for AI, building the solutions that automate them, and spreading those wins so they scale across teams. YOU WILL BE RESPONSIBLE FOR: Use Case Discovery: work directly with engineering and product teams to map their workflows, spot repetitive or slow processes, and identify the highest-impact opportunities for AI-driven automation across the development organization. Rapid Prototyping & Delivery: act as a builder - lead the technical design and implementation of working solutions such as prompt workflows, lightweight agents, scripts, and integrations that prove value fast, then partnering with the AI Efficiency Architects to harden anything that needs to run in production. Reusable Enablement Assets: create templates, playbooks, and repeatable patterns so a proven AI win can spread from one team to many without bespoke work each time. Adoption & Measurement: drive genuine adoption of AI tooling across teams and tie every solution back to concrete outcomes - time saved, throughput, and delivery speed - so impact is visible and quantifiable to leadership. Feedback to the Platform: surface recurring needs and friction back to the AI Efficiency Architects, so the internal AI gateway and tooling evolve toward what teams actually need. Technical Mentorship & Influence: mentor senior engineers on AI best practices and influence engineering roadmaps. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS Staff-Level Engineering Foundations: 8+ years of professional software engineering experience (Java, Python, Go, or TypeScript) with a proven track record of delivering complex, distributed systems in a production environment. Production-Ready AI Expertise: Deep, hands-on experience moving AI from a cool prototype to a real-world tool. You don’t just write basic prompts - you know how to build reliable agents and RAG workflows, and you understand the practical side of LLMs, like managing costs, speed, and context limits to make tools actually work for production. Strategic Problem-Solving: You have a strong bias for action and can take a vague problem and turn it into a working solution fast. While you focus on delivering value quickly rather than chasing perfection, you always think big - building smart, reusable tools that fix root problems for hundreds of developers, not just one team. Collaboration & Communication: excellent interpersonal skills and the ability to work alongside many different teams, understand their needs, and bring them along on the adoption journey. SDLC/DevOps Familiarity: working knowledge of the tools that underpin the software delivery lifecycle (e.g., GitLab/GitHub, CI/CD pipelines, source control) so that solutions fit naturally into how teams already work. Self-Direction: capacity to manage a varied portfolio of work across multiple teams, prioritize for impact, and deliver with minimal supervision. NICE TO HAVES Excellent presentation and training skills Previous experience running enablement, developer experience, or internal tooling initiatives WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS Hybrid work policy 4 weeks of Workation (T&C apply) 30 annual vacation days Occupational Pension 5,000 SEK wellness contribution annually Parental Leave Top-Up Possibility to enrol in a private health care insurance for both you and your partner 1,500 SEK equipment allowance Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**
At Qred, we’re building the bank for small businesses. Since launching 11 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair. With bold growth plans and strong momentum across multiple markets, we’re now looking for a SecOps Engineer for the next phase of growth. About the Role As a SecOps Engineer within our Engineering Enablers domain, you will bridge the gap between rigorous security standards and high-velocity product delivery. You will have end-to-end ownership of the security guardrails that protect our platform, moving away from manual gates toward automated, self-service security. Your mission is to empower our engineering teams to ship code confidently by embedding security into the very fabric of our scaling financial systems. Key responsibilities Architect and implement automated security guardrails within our AWS environment to ensure proactive risk mitigation. Support and mentor product teams during the discovery phase to integrate security requirements into the initial design of new features. Define and manage company-wide security policies, translating complex compliance needs into actionable engineering practices. Lead the response to security incidents, driving the process from initial detection and analysis through to containment and long-term resolution. Drive the adoption of security awareness programs across the organization, using data to measure and improve our collective security posture. What we’re looking for We are looking for a professional who thrives in a decentralized environment and values enablement over enforcement. As we are highly invested in AI, you possess a strong understanding of how to enable secure development processes and data integrity within that space. You are motivated by the challenge of building scalable frameworks that reduce cognitive load for other engineers while maintaining the high integrity required of a regulated bank. Qualifications Several years of experience in security engineering or DevSecOps, ideally within Fintech or another highly regulated industry. Deep technical knowledge of AWS security services, IAM frameworks, and cloud infrastructure. Practical experience in incident management and the development of automated security tooling. Strong communication skills with the ability to influence technical roadmaps and drive alignment across distributed teams. Practical experience with EDR/XDR solutions and MDM frameworks is preferred. Why Qred? This is the place to be if you’re looking for a place to grow. Qred is growing fast, and our Qredsters along with it. With a non-bureaucratic organization and delegated responsibilities, we make sure there’s a short path from idea to action. In addition to our great culture, you get to work with the latest cutting-edge techniques, full ownership, and last but not least a bunch of great competent colleagues to learn from! One Last Thing This is a full-time, permanent position based in our headquarters in Stockholm. We believe our culture thrives when we work together, which is why we have an office-first approach. To balance this with some flexibility, we have the option of working remotely one day per week. We review applications on a rolling basis and while the start date is flexible, the right candidate can join us immediately. Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law. #LI-LJ1