2026 - AI Engineer
Role details
Job location
Tech stack
Job description
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. Responsibilities and Impact: Design and implement AI/ML/LLM-driven models, tools, workflows, and agents to support investment professionals 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: Master's or Ph.D. in Artificial Intelligence, Machine Learning, 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 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 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: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key. Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally. Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things. Equal Opportunity Employer Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status. Responsibilities Design and implement AI/ML/LLM-driven models and tools to support investment professionals. Engage with domain experts to identify and execute high-value AI use cases.
Requirements
Artificial Intelligence, Machine Learning, Python Programming, LangChain, Llamaindex, Vector Stores, LLM APIs, OpenAI API, Anthropic API, MCP Servers, Financial Services, Hedge Fund Experience