Overview
Join a boutique quantamental hedge fund as our Lead AI Platform Engineer. Spearhead the buildout of a new internal data lake and platform. Build AI/ML-powered systems and hire, onboard, and manage a small team. Disrupt a mature industry and redefine how our strategies are executed.
Your Role
Technical Leadership
- Design data platform architecture with ingestion pipelines, storage layers, and modern stacks
- Build ML workflows for automated analysis and pattern recognition
- Integrate RAG, LLMs, and AI tools for document processing and querying
Team Management
- Hire and onboard/manage 3-5 specialists across data engineering, backend, and ML research
- Work with the existing team to integrate new capabilities and manage project deliverables
Required Experience
- 6+ years building ML data platforms, deploying models, and feature engineering
- Demonstrated proficiency in LLM fine-tuning, system prompting, and multi-agent frameworks (e.g., LangChain, LangGraph, or CrewAI)
- Strength in time-series forecasting, gradient-boosting models, and data-normalization pipelines
- Advanced SQL, Python, Cursor, RAG, distributed computing with database scaling expertise
- Team leadership and project-delivery experience with a proven track record of selecting and evaluating optimal technology stacks
- Deep NLP expertise for extracting insights from unstructured text
- Enterprise AI integration with relational and vector databases
Why This Role Matters
You'll leverage and enhance our internal IP and time-tested processes to extend our 30-year winning track record in public markets.
What We Offer
- Competitive salary plus equity participation in fund performance
- Full technical authority with executive backing and budget for team hiring and tech investments
- Opportunity to build from scratch at a profitable, growing fund
Next Steps
- We need someone who can start immediately and take ownership of this project. The ideal candidate has built similar platforms and is excited about applying ML to financial data.
- If you're a strong fit, apply on our website () or email your resume to .
San Francisco-based, full-time position with comprehensive benefits and collaborative work environment.