AI Engineer

Millennium•New York, NY

3d•$175,000 - $250,000•Onsite

About The Position

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Meet the Team Core to the health and growth of our business, Millennium’s Information Technology organization builds the flexible, scalable platforms and advanced proprietary systems that support the firm’s active, multi-manager model. Within this organization, the Business Development and Compensation Technology team supports platforms that sit at the center of the firm’s business development and incentive operating model, partnering across functions to deliver scalable, well-controlled systems aligned with evolving business and reporting needs.

Requirements

5+ years of data engineering experience, including 1 to 2 years of hands-on AI experience
Experience building production-grade GenAI solutions at enterprise scale, including work with MCPs, agent architectures, and RAG; exposure to GraphRAG is a plus
Strong hands-on experience with Python, AWS, Bedrock, LLMs, RAG, and agentic AI
Familiarity with agent orchestration frameworks such as LangGraph, Pydantic, or similar tools is highly desirable
Experience evolving traditional RAG architectures into more advanced agentic AI workflows
Strong understanding of LLMs, RAG, prompt engineering, conversational AI platforms, and modern AI-powered user experiences
Ability to design, optimize, and evolve large-scale conversational AI platforms with strong standards for code quality, documentation, and maintainability
Bachelor’s degree in Computer Science or a related field

Nice To Haves

exposure to GraphRAG is a plus
Familiarity with agent orchestration frameworks such as LangGraph, Pydantic, or similar tools is highly desirable

Responsibilities

Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows
Help redesign how business development activity is modeled, processed, controlled, and reported across the firm
Shape AI-first systems architecture across multiple platforms that support business development and incentive workflows
Design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact
Partner closely with product managers, data engineers, and business stakeholders to translate business needs into scalable, production-ready solutions
Contribute to real-time and batch data pipelines, while supporting monitoring, logging, metrics, guardrails, and human-in-the-loop review processes
Work across regions and departments to understand business workflows, contractual documents, and unstructured data in order to design effective AI solutions
Perform data cleansing, data engineering, and pipeline development needed to make AI solutions reliable, scalable, and production-ready