The opportunity
Agents are becoming the default way developers ship LLM-powered software, and they are miserable to debug. A single run fans out across model calls, tool calls, retries, handoffs between agents, and multi-turn conversations that only make sense as a whole.
What you'll do
Own projects end to end. Take a problem from a rough customer complaint: through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move
Build the views developers debug agents in. Multi-agent workflows,: conversation replay, cost and token breakdowns, the moment where a run failed and why. Making a deeply nested, wildly variable trace legible is a genuinely hard interface problem
Make the data underneath fast and queryable. Filtering and sorting millions: of conversations, getting cost calculation right, and designing APIs that both humans and other people's agents can use well
Detect the failures worth flagging. We're expanding from showing developers: what happened to telling them what went wrong - common agent failure classes surfaced as issues, not as something you have to go looking for
Take the friction out of getting started. Setup should be trivial on any: stack, whether a developer wires it up by hand or asks their coding agent to do it
Collaborate daily with product managers, designers, SDK engineers, and other: product engineers. You'll bring the technical perspective that makes a design better, explain constraints in terms of what they cost the user, and sweat the details other people skip: empty states, error messages, loading behavior, the edge case that only bites 2% of accounts
What they're looking for
- + years of professional experience building and shipping full-stack web applications
- Strong experience with React and TypeScript, and with Python (Django or: similar) backed by a relational database such as PostgreSQL - depth in one side and real competence in the other is fine
- A track record of driving non-trivial projects end to end, including the: parts that require getting other teams to agree with you
- Comfort designing and building data-heavy interfaces where the shape of the: data is messy and the volume is large
- Excellent written and spoken English communication skills
- Experience leveraging AI-powered development tools to enhance productivity and code quality
- You live in the Vienna area or are willing to relocate for this role
