AI Engineer

We deploy production AI systems for knowledge-intensive teams: investment, consulting, tech, industrials. You'd build and ship those systems hands-on, from architecture to delivery, across a range of client projects.

What you'll do

• Design and build agentic systems: LLM agents with structured outputs, grounded in client knowledge bases (RAG), with the deterministic orchestration around them.
• Engineer the supporting stack: APIs, data models, integrations, audit and access.
• Stand up evaluation harnesses (test sets, automated scoring, model comparison) and drive quality on measured results, not vibes.
• Work closely with client teams, and hand over cleanly.

What you bring

• A BSc or MSc degree in a relevant technical field (Computer Science, Electrical Engineering, Data Science, Communication Systems, etc.) preferably from a known Swiss university or Engineering school.
• Strong software engineering; Python and/or .NET; comfortable owning a system end to end.
• Fluency with off-the-shelf GenAI systems, agentic design patterns, and prompt engineering.
• Practical RAG and LLM application experience: grounding, structured outputs, evaluation.
• Experience building and deploying in Cloud Environments, including Azure (AI Foundry, Azure OpenAI, Containers, etc.).
• Solid engineering discipline and experience: version control, CI/CD, testing, and clean, maintainable code.
• Clear communicator who works directly with non-technical stakeholders. Consulting experience appreciated.
• The ability to work in a growing, developing environment, focused on delivering premium quality services and outputs to clients.
• Fluency with AI-assisted software engineering systems (Cursor, Claude Code, etc.)
• Authorization to work in Switzerland.
• A fluent command of written and spoken English

Nice to have

• Microsoft 365 and Document automation exposure.
• Experience in regulated / professional-services domains.
• A fluent command of written and spoken German or French