About this role
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!
About the TeamAgent 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. 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.
About the RoleThis is a software development role, but also more than that. An Agent Engineer 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 in this team, which means a high degree of ownership and a wide scope of work.
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.
About YouTo be successful in this role, we believe that you have:
A strong engineering foundation. You have built real things, you understand what good architecture looks like, and you knew how to write software long before AI tools made it easier.
A practical instinct for the right tool. When a scripted solution is better than an LLM, you reach for the scripted solution. You understand the tradeoffs and can articulate them clearly.
Real experience with integration challenges. Getting the right data, with the right permissions, to the right place is often where the hard problems live. You have been there before.
The ability to translate across disciplines. You can sit with a business stakeholder, understand what is actually broken, and then turn around and have a completely different conversation with a platform engineer about API design.
Comfort with ambiguity and parallel workstreams. When you hit a wall, you work through it or find another route. You do not need a detailed brief to get started.
Pragmatic ambition. You would rather ship something that works and iterate than design something perfect that never ships. But pragmatic does not mean sloppy.
A willingness to speak up honestly. You say so when something is a bad idea, and you come with a better suggestion. You do not need to win every argument, but you are direct about your view.
At least 5 years of professional software engineering experience.
Hands-on experience with Python and Java in a production context, Java is our primary backend language at Storytel, and Python is the language of choice for agent work.
Familiarity with Google Cloud Platform or similar cloud experience.
Prior exposure to agent frameworks or LLM tooling (we use Google ADK, but it is learnable if you have the foundations).
Join a world of storiesAt 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.