3 days ago
Berlin, GermanyStaff+
Responsibilities
- Build agent orchestration, context management, memory, and programmatic tool-calling systems.
- Enable AI agents to perform real work through sandboxed code execution and permission-aware data access.
- Develop evaluations for multi-turn workflows and investigate system failures.
- Integrate models and build inference infrastructure for scalable AI systems.
- Create shared foundations that help product engineers build and ship agent capabilities.
- Lead through technical decisions, hands-on implementation, and support for other engineers.
Requirements
- At least 5 years of relevant engineering experience, including shipping and owning customer-facing LLM-powered systems after launch.
- Strong software engineering fundamentals and hands-on TypeScript experience.
- Practical experience with agent orchestration, tool calling, and context management.
- Experience with sandboxed execution, inference infrastructure, or similarly demanding production systems.
- Ability to use thoughtful evaluations to distinguish compelling demos from dependable systems.
- Python experience is useful, and procurement technology experience is helpful but not required.
Benefits
- Competitive salary and meaningful equity are offered.
- On-site role in Berlin, Germany.
- Visa sponsorship is not available.