AI Engineer

About the role

AI Engineer

Role: AI Engineer

Location: Hong Kong / Shanghai

About Millennium

Millennium is a global, diversified alternative investment firm founded in 1989, focused on delivering high-quality returns for investors. The firm manages more than $92 billion in AUM and operates a global platform with 6,800+ employees, 140+ locations, and 340+ investment teams worldwide. Our business is built on evolution and innovation. We combine entrepreneurial talent, disciplined risk management and significant investment in technology to support the platform.

About the Team

You will work with one of Millennium’s investment teams, who primarily focuses on Fundamental Equity. The investment team is building AI-enabled research capabilities that bring together proprietary knowledge, public information, documents, data, APIs and analytical tools to improve company and industry research, market monitoring and investment decision-making.

About the Role

We are seeking an AI Engineer to work directly with investment professionals and own practical AI projects from problem definition and prototyping through deployment, evaluation and ongoing improvement. The successful candidate will combine strong engineering ability with curiosity about fast-moving AI technologies and sound judgement about how to turn emerging capabilities into reliable research products.

- Design, build and maintain AI agents and automated workflows for company research, industry analysis, earnings, market monitoring and event-driven work.

- Develop tools that connect internal knowledge, public information, documents, data, APIs and analytical systems.

- Build reliable multi-source data and document workflows for research use cases, including ingestion, transformation, quality checks and structured outputs.

- Evaluate new models, developer tools and open-source projects, and rapidly test promising approaches such as LLM Wiki-style knowledge systems and loop-based engineering workflows.

- Translate emerging AI capabilities into useful research products rather than standalone demos.

- Partner with investment users to define requirements, communicate trade-offs and iterate based on evidence and feedback.

- Establish evaluation frameworks covering accuracy, source quality, usefulness, reliability, latency and cost.

- Improve tooling, documentation and reusable components to reduce manual work and support durable adoption across the team.

What You Bring

- Bachelor’s, master’s or PhD degree in Computer Science, Artificial Intelligence, Software Engineering or a closely related technical field.

- 1-3 years of professional, full-time experience in AI engineering, machine-learning engineering, software engineering or a closely related role.

- Strong software-engineering skills in at least one modern programming language; familiarity with APIs, databases, data pipelines and cloud-based development environments.