KEA is hiring: Working Student AI / LLM (m/f/d) in Berlin We're building an AI-powered data intelligence platform that turns natural language into verified database queries. A user types a question — our system resolves intent, retrieves the right variables from complex enterprise databases, generates and verifies SQL, and returns a precise answer. No SQL skills required. No analyst bottleneck. The technology combines LLM orchestration, semantic retrieval, hybrid search, cross-encoder reranking, and self-correcting query generation across fully isolated multi-tenant environments. Our first clients are in market research, but the platform is domain-agnostic. We're a small team in Berlin, close to launch, and looking for a working student who builds fast and thinks clearly. What you'd work on

• Prompt engineering and LLM orchestration at the core of the product
• Retrieval logic — embeddings, BM25, reranking, making search precise
• Shipping features end-to-end that go live to real users
• Architecture decisions — you're in the room, not outside it

• Python, TypeScript, DuckDB, Supabase, n8n, Embeddings,
• BM25 + Semantic Hybrid Search, Cross-Encoder Reranking, RAG,
• NL-to-SQL, Intent Routing, Self-Correcting Generation,
• Multi-Tenant Isolation, Role-Based Access

• Strong Python — the entire backend runs on it
• Interest in LLMs, retrieval, or making AI actually reliable
• Have built and shipped something (GitHub, side projects, prototypes)
• Learn fast, debug methodically, take ownership
• SQL is a plus — curiosity is non-negotiable

• Berlin (on-site, not remote)
• 12-20h per week, flexible
• Up to EUR 25/h
• Start: ASAP
• Full-time down the road? Open to it — no pressure either way