Architect our core AI assistant: Lead the technical development of an agent that helps construction professionals process, improve, and validate complex construction documents.
Engineer robust agentic workflows: Own tool use, complex RAG pipelines, guardrails, and sub-agent orchestration.
Master context and memory: Solve state-management challenges to ensure coherent, long multi-turn interactions.
Own the feedback loop: Implement online and offline evaluation frameworks to balance latency, cost, and quality.
Drive product impact: Work with Product and Engineering to turn ambiguous business problems into concrete technical solutions.
Production-grade engineering: Write clean Python code and establish observability so agents are reliable in production.
Explore future horizons: Identify opportunities to expand capabilities, for example with multimodal inputs like visual plans.

Strong engineering background: 5+ years of experience with production-grade Python and solid software design.
Deep expertise in LLM applications: Experience with agent architectures, advanced RAG strategies, and state/context management.
Product mindset: Comfortable with ambiguity and able to judge when to ship something that is good enough.
Bonus skills:
Good understanding of German to debug domain-specific conversations.
TypeScript experience for frontend integration.
Classical ML or deep-learning knowledge for model optimization.

Senior AI Engineer – LLMs, Agents

Key skills