Trading Embedded Applied AI Engineer - Equities
Core
Build and deploy bespoke AI workflows and LLM-based solutions directly to trading teams to enable them to beat the market.
Role type
Senior Applied AI Engineer (Equities Trading)
Builds
End-to-end agentic AI systems, LLM architectures, and production-ready AI solutions for portfolio management workflows.
Domain
Financial Services / Equities Trading / Applied AI
Deliverable
production ML models
Required skills
Rapid prototyping, software engineering, agentic AI patterns, LLM architecture, prompt design, model selection, retrieval-augmented generation, vector databases, semantic search, financial market knowledge (Equities), market data analysis.
Preferred skills
Experience embedding with investment teams, fluency in Millennium's technology stack.
Responsibilities
Engage with portfolio managers to translate business problems into AI solutions; design, build, test, deploy, and own LLM-based solutions; rapidly prototype and iterate based on expert evaluation; implement agentic AI systems for multi-step reasoning and tool execution; own the end-to-end LLM lifecycle including evaluation and iteration.
Seniority
Senior, hands-on IC
