Agent Engineer

Brayns; Stockholms kommun; On-site; SEK 700,000 - 950,000; Full time

Job summary

Brayns in Stockholm is seeking an Agent Engineer to design, build, and continuously improve agents that automate compliance workflows. This product-focused role emphasizes reliability, real user outcomes, and handling edge cases within production environments.

You will decide which LLM to use for each agent, backed by experiments and metrics, and collaborate closely with the engineering team to deploy robust solutions in production.

Qualifications

• Proven ability to design and deploy agents in production.
• Experience with real user workflows and edge cases.
• Experience evaluating and selecting LLMs for production use.
• Strong Python skills as the primary language.

Responsibilities

• Design and build agents that solve real product problems end-to-end.
• Choose appropriate LLMs for each agent and back decisions with experiments.
• Create scaffolding for reliable production: tool use, error handling, retries, guardrails, observability.
• Iterate on agents based on real usage and measure success.
• Collaborate with the engineering team to integrate agents into the product.

Skills

Python

Experimentation

Product thinking

Job description

About Brayns

We are a small team teaching machines to run compliance work end-to-end. Brayns reads how operators actually work — documents, case history, the judgment of senior people — and turns that structure into agents that execute continuously, traceably, at scale.

The role

We’re building what we think will be one of the next unicorns out of Stockholm, and agents are core to how our product works. We’re hiring an Agent Engineer to design, build, and continuously improve them.

This is a product-focused role. You care about whether the agent actually solves the user’s problem reliably — not just whether the demo looks impressive. You think in terms of real workflows, edge cases, failure modes, and the experience the user is left with after the agent runs.

This role is onsite in Stockholm and open only to candidates who already live in Stockholm or are ready to relocate before starting. We will not be considering remote applicants.

What you will do

• Design and build agents that solve real product problems end-to-end — not just prototypes.
• Decide which LLM is right for each agent, and back those decisions up with experiments and evals rather than vibes.
• Build the surrounding scaffolding agents need to be reliable in production: tool use, error handling, retries, guardrails, observability.
• Iterate on agents based on real usage — measuring what works, finding where they break, and closing the loop.
• Work closely with the rest of the engineering team to integrate agents into the product cleanly.

What we look for

• Product-focused. You think about the user, the workflow, and the outcome — not just the model. You’d rather ship a slightly less clever agent that actually works than a fancy one that fails 30% of the time.
• Real agentic platform experience. You’ve built agents inside a real product or platform that real users depend on. Hobby projects, weekend hacks, and tutorial demos don’t count for this one — we want someone who has lived with agents in production.
• Experiment-driven model selection. When asked which LLM to use for a given agent, your answer is grounded in evals and experiments you’ve actually run — not in what’s trending or what you used last time.
• Strong Python. Python is our primary language for this work. We’d like a Python expert, but we can be flexible here for the right person if the rest of the profile is a strong fit.

Nice to have

• Backend experience is a plus. Most strong agent engineers we’ve seen come from a backend background. It’s not required, but it tends to come with the territory.