wingmaite captures the knowledge companies never write down: who decides what, how work actually gets done, and why decisions were made. Our AI agents use that knowledge to answer questions and get work done.
We're looking for a Staff engineer to own the technical quality and direction of our agent platform. You'll build features end to end, from the agent into the backend. You won't manage people. You'll work closely with our CTO as a technical sparring partner.
What You'll Do
Design the agents: Decide how our agents plan, use tools and handle multi-step work, and where people need to step in. Build reusable components so each new use case doesn't need its own system.
Connect agents to company knowledge: Build how that knowledge reaches the agents, together with the people who decide what it should contain.
Make answers reliable: Agents should be correct, cite their sources, show people only what they're allowed to see, and know when not to act.
Track quality: Build evals, monitor quality and cost, and keep our model choices up to date.
Ship end to end: Build features from the agent through to the backend yourself.
Keep the architecture consistent: Set the patterns others build on, document decisions, keep specs current, and review designs with engineering, product and design.
How We Work
We build features as one team: design, product, engineering and AI together, from the first idea to production. You'll help shape a feature while it's still a problem and stay with it until it works for users. Agents depend on the knowledge behind them, so we build both as one system. We write decisions down and discuss disagreements openly.
What This Role Is Not
A management role, a prompt-engineering role, or an infrastructure or security role.
What We're Looking For
Must-Haves
You've shipped multi-step, tool-using LLM agents to production (LangGraph or similar)
You know when sub-agents help, how to build good evals, and why retrieval fails
Fluent in Python and productive in TypeScript/Node (NestJS is a plus)
PostgreSQL and data modeling
You use AI coding tools such as Claude Code every day
You write clear specs and can explain trade-offs to people who aren't engineers
Fluent English (C1–C2)
Nice-to-Haves
None of these are required, but they'll help you get up to speed faster:
You've connected agents to tools and data through MCP
You've worked with knowledge graphs or other ways of modeling how people, work and information relate
You've run models in production on AWS Bedrock or Vertex AI
You've traced and debugged agents with LLM observability tools such as Langfuse
You speak German
Who You Are
You've set technical direction beyond your own work, and others build on your patterns
You start from what users need and what could go wrong, then choose the tools
You care whether the system still makes sense in a year
You're happy to do backend work when a feature needs it
You want influence through your work, not through a title
You like working with designers and product people
You enjoy technical debate and change your mind when the other argument is better
What We Offer
Flexible remote setup
Learning & development opportunities
Generous vacation & workation budget
Technical ownership of the platform at the core of wingmaite's product
How to Apply
Upload your CV through join and fill in the questionnaire so we can consider your application for the role! Optional: a link to agent or eval work you're proud of.
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