AI Engineer

Responsibilities

• Develop and validate production-grade AI solutions using generative AI approaches, including large language models, retrieval-augmented generation, fine-tuning, prompt optimization, and agent-based workflows.
• Contribute to redesigning how business development activities are modeled, processed, governed, and reported across the organization.
• Define AI-first architectures across multiple platforms to support business development and incentive workflows.
• Create and implement evaluation frameworks to assess solution quality, robustness, reliability, and business impact.
• Collaborate with product managers, data engineers, and stakeholders to translate requirements into scalable, production-ready AI solutions.
• Contribute to real-time and batch data pipelines and support monitoring, logging, metrics, guardrails, and human-in-the-loop review processes.
• Work across regions and departments to understand business workflows, contracts, and unstructured data to design effective AI solutions.
• Execute data cleansing, data engineering, and pipeline development necessary to ensure AI solutions are reliable, scalable, and production-ready.

Requirements

• More than five years of data engineering experience, including one to two years working directly with AI.
• Proven experience delivering enterprise-grade GenAI solutions, including work with MCPs, agent architectures, and RAG; familiarity with GraphRAG is a plus.
• Hands-on expertise with Python, AWS, Bedrock, LLMs, RAG, and agentic AI.
• Knowledge of agent orchestration frameworks such as LangGraph or Pydantic, or similar tools, is highly desirable.
• Experience advancing traditional RAG architectures into sophisticated agent-based AI workflows.
• Deep 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 emphasis on code quality, documentation, and maintainability.
• Bachelor's degree in Computer Science or a related field.

Technologies

• Python
• AWS
• Bedrock
• LLMs
• RAG
• LangGraph
• Pydantic

About Millennium

Millennium is a global, diversified alternative investment firm established in 1989. The organization emphasizes ongoing evolution, innovation, and focus, with a mission to deliver results for investors. Professionals at Millennium enjoy a balance of independence and support, backed by a worldwide network that prioritizes collaboration, disciplined risk management, and continuous learning. The firm invests in developing expertise and accelerating growth to create lasting impact over time.

Salary Range

The total compensation package includes base pay, discretionary performance bonus, and comprehensive benefits. For this New York onsite role, the base salary range is $175,000 to $250,000, and may change in the future. Final offers consider an individual’s experience and qualifications to assemble a competitive overall package.