Job Details

Senior Applied AI Engineer needed for a fast-paced, early-stage fintech startup building an AI-native trading terminal. Focus on building an AI Market Intelligence system with full ownership. Remote position.

You will build an AI Market Intelligence system. Not a "chat with LLM" — a managed system with routing, retrieval, structured outputs, and eval cycles. Full ownership. You will be the sole AI engineer. We don't need someone who will start with three weeks of research or suggest "fine-tuning the model first." Start with a baseline, then iterate. Results every 1–3 days. Responsibilities: - Routing requests by use cases, retrieval pipeline, context assembly, structured outputs - Breaking down scenarios into separate pipelines — not one universal agent - Comparing 2–3 approaches on one case, choosing based on data - Eval framework, tracing, logging prompts / context / outputs - Integration of external data sources (market data, prediction markets, on-chain)

Must-haves: - 6+ years of development, 2+ years with LLM in production - Python, RAG, orchestration, agent systems, vector DB, evals/tracing - LangChain / LangGraph / LlamaIndex / DSPy or similar - AI observability (Langfuse or similar) - Experience in fintech / crypto / DeFi / trading / prediction markets or related domain - Worked in a startup or small team — built things yourself, didn't coordinate - AI tools (Cursor, Copilot, Claude) — part of your daily workflow - Can explain what you built, how it worked in production, why you chose that approach Not suitable: - Research / academic without production - Classic ML/DS without LLM experience - Only large companies — never built from scratch - "Need to research first" instead of "let's launch a baseline" - Finance/trading domain is foreign - "The model will figure it out" — one agent for all requests

Competitive salary