CHF 2'500–4'500 per month, depending on experience and skills.

Tasks 🛠️ Your Responsibilities As an Engineering Intern — AI/Data , you will support the founder across data pipelines, LLM agent workflows, and evaluation infrastructure. Depending on your strengths, you'll go deeper in one area while still getting exposure to the full stack. Data pipelines: Help build and improve ingestion and processing pipelines for insurance policy documents, legal texts, and case descriptions (parsing, normalization, structuring). AI-ready structuring: Support chunking, metadata extraction, clause mapping, and schema design so downstream LLM agents work reliably against complex policy wording. LLM agent workflows: Prototype and implement agentic LLM workflows for coverage analysis — fact extraction, policy cross-referencing, exclusion checking, and decision drafting — with attention to accuracy, cost, and latency. Search & retrieval: Assist with indexing strategies, embeddings, hybrid retrieval, and relevance tuning for legal and insurance content. Evaluation & quality: Build eval sets from real coverage check examples, run experiments, analyze failure cases, and help turn findings into shipped improvements. Engineering fundamentals: Write clean TypeScript code, add tests where appropriate, and improve observability (metrics/logging) for pipelines and services. Collaboration: Work closely with the founder and domain experts; document decisions and share learnings clearly.