AI Engineer

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 an AI Engineer at Capstone Investment Advisors here.

Responsibilities and Impact:

• 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

Our future colleague has these skills:

• Computer Science degree or a related field required
• 5+ years of experience
• 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

Do you possess these Bonus Skills:

• Master’s or Ph.D. in Artificial Intelligence, Computer Science, or a related field required

Benefits & Compensation Information: Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.

Some benefits included in this role are:

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental and Financial
• Time-Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

The applicable base salary range for this role is $155,000-$200,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

In addition to base compensation, this role is eligible for an annual incentive plan. To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

Don’t forget to follow us on LinkedIn

Capstone’s Commitment At Capstone, we value a diverse, equitable, and inclusive workplace where all employees feel appreciated and respected. Our commitment to a nondiscriminatory approach extends equal opportunities for employment and advancement across our programs, departments, and locations. We actively seek and appreciate a variety of life experiences and heritages and advocate for the amplification of all voices. At Capstone, we’re all about creating a workplace where you can thrive and make a real impact. We value innovation, teamwork, trust, and discipline, and we know you do too.

Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.

Collaboration: We’re big on teamwork. You’ll join a supportive community where everyone’s input matters, and we learn from each other every day.

Trust: …