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.
Shape a product that solves real-life problems in the construction industry
Work in an open-minded, collaborative, dynamic, and international team
Fully remote team and work culture
Freedom in your working hours. It's the results that count.
Company off-sites and regular team events (offline and online)
Flexible working conditions with the possibility to do workations
Competitive compensation, a permanent contract, and modern work equipment
Open feedback culture with regular 1-on-1s