Applied AI Engineer – Equities

In this role you will translate portfolio manager problems into production-ready AI solutions. You’ll design and own end-to-end LLM-based workflows that support equities trading and reusable AI capabilities. You will rapidly prototype, iterate, and deploy agentic AI systems with multi-step reasoning and tool execution. You’ll partner with portfolio managers and embed with investment teams to deliver durable, scalable outcomes that align with Millennium’s mission to deliver results.

• Engage with portfolio managers to understand business problems and craft robust AI solutions
• Design, build, test, deploy, and own LLM-based workflows that generalize into reusable capabilities
• Prototype rapidly based on expert feedback and iterate
• Design and implement agentic AI systems involving planning, tool use, memory, and reflection
• Manage end-to-end LLM architecture lifecycle: prompts, model selection, evaluation, deployment, iteration
• Spend 3–6 months collaborating with multiple teams to gain fluency in Millennium's tech stack
• Embed with an investment team for six months with potential permanent placement

• Master’s or Bachelor’s degree in a technical field with 5+ years of industry experience
• Strong communication and collaborative skills in fast-paced environments
• Knowledge of financial markets, especially equities, including market data and documents
• Experience with agentic and LLM frameworks
• Understanding of agentic patterns: tool use, planning, memory, and reflection
• Experience with retrieval-augmented generation, vector databases, and semantic search systems

• strong interpersonal skills
• independence and collaboration
• fast learning and adaptability
• agentic and LLM frameworks
• retrieval-augmented generation
• vector databases