AI Engineer (Full Stack, RAG focus)
Overview • Build the first working version of an AI tutor geared towards the investment industry — ingestion → retrieval → lesson/Q&A UX → news drill-down — end-to-end. • The role comprises backend engineering and the frontend product layer. Details • Immediate start. • Contract-for-hire: 3 to 6 month project at $6k-$12k, depending on qualifications and project scope, with opportunity for full-time hire afterwards. • Remote work OK; founder in NY. Candidate must be able to: • Build a system that ingests PDFs/HTML, stores embeddings, retrieves text chunks, and feeds them to an LLM. • Understand chunking, semantic vs keyword search, and reranking. • Tune retrieval precision/recall, handle citations, and implement “no source → no claim” logic. Only apply if: • You have built and shipped at least one RAG app end-to-end About the founder: • Ex-investment portfolio manager at one of the largest hedge funds in the world. Deep knowledge of how investors learn new industries and analyze companies. Building the investment agent for professionals — educational, not advisory. How best to apply: Send a short note with • A live demo or repo of something RAG-based you’ve built. • 3–5 sentences on your stack preference (BM25, pgvector, rerankers). • Availability Apply tot his job