
Storytel · Stockholm
Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of th...
Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our
connection with others.
As one of the world's leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users
across 25 markets.
Driven by our purpose, "Leading the future of storytelling, we move the world through stories", Storytel Group inspires and
entertains people around the world by blending innovation with tradition. We bring stories to life across various formats for
everyone to discover. Anytime. Anywhere.
Ready for your next chapter? We're looking for an Agent Engineer to join our newly formed Agent Engineering team in Sweden!
Agent Engineering is a new team at Storytel with a clear mission: find where AI agents can create real leverage across the
organisation, and then build them. We work closely with business functions, understand their problems, and help them automate
workflows using AI agents in a way that actually works reliably.
This isn't an R&D team and it isn't a consulting team. We sit at the intersection. When an agent is the right answer, we build
one. When something else is the better solution, we say so. We build, test, evaluate, and iterate rather than ship things that
only look like they work.
The team is small by design (2-3 people). We operate as a sibling team to Storytel's Platform Engineering team, who own the
scalable agent infrastructure. We focus on the agents themselves: understanding the problem, designing the solution, integrating
the right data and tools, and iterating until it reliably delivers.
If we get this right, we will fundamentally change how much of this organisation operates.
This is a software development role, but also a bit more than that. We call it an Agent Engineer, this role bridges business and
technology: understanding real problems with stakeholders, translating them into agent architectures, and doing the integration
work to connect everything together.
As an Agent Engineer, you will work across the full lifecycle of agent development, from the first stakeholder conversation to a
working, evaluated solution in production. You will be one of the first people to join this team, which means a high degree of
ownership and a wide scope of work. You will work alongside our Agent Engineering Lead who also manage this team.
On any given week, you might be mapping out a workflow problem with a business team, designing the architecture of an agent, or
troubleshooting an integration to get the right data flowing to the right place. Blockers are a given in this kind of work, so you
will typically have several projects on the go and move between them as needed.
A key part of the role is building base agents that business teams can later adapt themselves, adjusting prompts, data sources, or
configurations to tackle similar problems without starting from scratch each time.
to write software long before AI tools made it easier.
You understand the tradeoffs and can articulate them clearly.
where the hard problems live. You have been there before.
then turn around and have a completely different conversation with a platform engineer about API design.
need a detailed brief to get started.
pragmatic does not mean sloppy.
need to win every argument, but you are direct about your view.
language of choice for agent work.
At Storytel, we're a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic,
and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with
us.
Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile. Answer a few
questions, and you're all set.
You have all of July to apply, we will start interviewing in August.
Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: Design and build backend services in Go for distributed, cloud-native applications. Build frontend applications that connect users to data, workflows and AI-powered capabilities. Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: Design application-level data models and database schemas. Make informed trade-offs between storage approaches. Understand query patterns and performance implications. Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. Design services that enable AI agents to act safely with business data. Collaborate with ML and data engineers to operationalize AI in real products — not demos. Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: Write clean, maintainable, production-quality code across backend and frontend. Participate in code reviews and architectural discussions. Build automated tests and CI/CD pipelines. Take responsibility for production reliability and incident resolution. Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: Strong experience as a Senior Full-Stack Software Engineer building production systems. Proven experience with Go (Golang) in backend environments. Solid understanding of distributed systems and modern architectures. Experience building frontend applications. Experience with database design and application data modeling. Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. Ownership mindset and ability to balance speed and quality. Excellent communication skills and collaborative attitude. Nice to Have Experience with A/B testing or experimentation frameworks. Familiarity with event-driven architectures and streaming systems. Experience with AWS and cloud-native architectures. Experience building AI-powered or agentic applications. Exposure to high-scale e-commerce, logistics or data-heavy environments. Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? A stable, future-focused company with a meaningful mission to improve healthcare accessibility. Work on AI, ML and automation projects that impact millions of customers. Work with modern cloud-native, automated and event-driven systems. Join a flat, agile organization with minimal bureaucracy. Grow through training, mentorship and industry conferences. Collaborate in a transparent, cross-functional environment. Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process Apply Interview: Screening Interview: Technical Capabilities Interview: Culture Fit Background Check: As a pharmacy, we always conduct a background check. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!
Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: Design and build backend services in Go for distributed, cloud-native applications. Build frontend applications that connect users to data, workflows and AI-powered capabilities. Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: Design application-level data models and database schemas. Make informed trade-offs between storage approaches. Understand query patterns and performance implications. Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. Design services that enable AI agents to act safely with business data. Collaborate with ML and data engineers to operationalize AI in real products — not demos. Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: Write clean, maintainable, production-quality code across backend and frontend. Participate in code reviews and architectural discussions. Build automated tests and CI/CD pipelines. Take responsibility for production reliability and incident resolution. Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: Strong experience as a Senior Full-Stack Software Engineer building production systems. Proven experience with Go (Golang) in backend environments. Solid understanding of distributed systems and modern architectures. Experience building frontend applications. Experience with database design and application data modeling. Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. Ownership mindset and ability to balance speed and quality. Excellent communication skills and collaborative attitude. Nice to Have Experience with A/B testing or experimentation frameworks. Familiarity with event-driven architectures and streaming systems. Experience with AWS and cloud-native architectures. Experience building AI-powered or agentic applications. Exposure to high-scale e-commerce, logistics or data-heavy environments. Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? A stable, future-focused company with a meaningful mission to improve healthcare accessibility. Work on AI, ML and automation projects that impact millions of customers. Work with modern cloud-native, automated and event-driven systems. Join a flat, agile organization with minimal bureaucracy. Grow through training, mentorship and industry conferences. Collaborate in a transparent, cross-functional environment. Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process Apply Interview: Screening Interview: Technical Capabilities Interview: Culture Fit Background Check: As a pharmacy, we always conduct a background check. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!
Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. About the Role As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. In this role, you will Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. Support feature development teams with infrastructure decisions and deployments. Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). Design and implement scalable cloud infrastructure solutions. About You Basic Qualifications: 3+ years of experience in infrastructure, platform, or site reliability engineering. 3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments. 3+ years of experience with Kubernetes, including deployment, scaling, and operations. 3+ years of experience with infrastructure-as-code tooling, such as Terraform. 3+ years of experience designing and operating highly available, scalable, and reliable backend systems. 2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services. Other Qualifications: Experience acting as an SRE, with a strong understanding of site reliability principles in production environments. Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation. Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams. Experience with Postgres and Redis in production, including performance tuning and reliability practices. Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support. Strong observability skills, including logging, metrics, alerting, and incident response. Ability to navigate ambiguity and drive infrastructure projects from concept to production. Strong communication skills, with the ability to partner effectively across engineering and product teams.