Senior AI Engineer – LLMs, Agents
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Job Description
Senior AI Engineer developing an intelligent construction assistant with a remote team. Designing workflows and enhancing agent capabilities for the construction industry.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- 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
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