Lead AI Platform Engineer

RBF Capital, LLC; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive salary

Equity participation

Comprehensive benefits

Job summary

A boutique quantamental hedge fund is looking for a Lead AI Platform Engineer to design and build a new data lake and platform. The role involves leading a small team in developing AI/ML systems and implementing data-driven solutions. Candidates should have extensive experience in ML platforms and leadership in technology initiatives. This is a full-time position based in San Francisco, offering competitive salary and equity participation.

Qualifications

• 6+ years building ML data platforms and deploying models.
• Proficiency in LLM fine-tuning and multi-agent frameworks.
• Experience with project delivery and team management.

Responsibilities

• Design data platform architecture with modern stacks.
• Build ML workflows for automated analysis.
• Integrate AI tools for document processing.
• Hire and onboard/manage 3-5 specialists across data engineering, backend, and ML research.
• Collaborate with the existing team to deliver projects on time.

Skills

ML data platforms

LLM fine-tuning

Time-series forecasting

Advanced SQL

Python

Team leadership

Deep NLP expertise

Project delivery

LangChain

LangGraph

CrewAI

Tools

LangChain

LangGraph

CrewAI

RAG

SQL

Python

Job description

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 (https://rbfcapital.com/lead-ai-platform-engineer) or email your resume to [e-mail].

San Francisco-based, full-time position with comprehensive benefits and collaborative work environment.