AI Engineer (Enterprise)
About The Position
We see the world differently at Capstone Investment Advisors. You will, too. Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $11.8 billion of AUM (as of November 1, 2025) and 326 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry. With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate. Learn more about how you can be part of the disciplined collaboration and transcendent thinking as our AI Platform Engineer at Capstone Investment Advisors here.
Requirements
- Computer Science degree or a related field required
- Proficiency in Python programming
- Hands-on experience with frameworks like LangChain, Llamaindex, etc., vector stores, LLM APIs (e.g. OpenAI API, Anthropic API), and building MCP servers/clients
- Financial services/hedge fund experience is preferred
Nice To Haves
- Master’s or Ph.D. in Artificial Intelligence, Computer Science, or a related field required
Responsibilities
- Design and implement AI/ML/LLM-driven models, tools, workflows, and agents
- Develop, integrate, and maintain AI features into products (e.g. chat agents, copilots, automation pipelines)
- Implement retrieval augmented‑ generation (RAG), MCPs, function calling, and internal integrations (e.g. databases, APIs, services)
- Research, prototype and deploy AI applications using Python
- Engage with domain experts to identify, evaluate, and execute high-value AI use cases
Benefits
- Training and development opportunities
- Robust Wellness Resources: Physical, Mental and Financial
- Time-Off, Retirement and Commuter Benefits
- Gym Reimbursement and other Discounts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
