Trading Embedded Applied AI Engineer – Equities
Core
Build and deploy end-to-end LLM-based AI solutions and agentic systems to solve specific Portfolio Manager workflows and enable trading teams to beat the market.
Role type
Senior Applied AI Engineer (LLMs & Agentic Systems)
Builds
Production-ready AI solutions, agentic AI systems, and reusable AI capabilities for equities trading
Domain
Financial services / Equities trading / Applied AI
Deliverable
production ML models
Required skills
LLM architecture design, agentic AI patterns (tool use, planning, memory, reflection), rapid prototyping, software engineering, prompt design, model evaluation and deployment, retrieval-augmented generation, vector databases, semantic search
Preferred skills
Knowledge of financial markets and equities, experience with market data and documents
Technologies
LLM frameworks, agentic frameworks, vector databases, semantic search systems
Responsibilities
Engage with Portfolio Managers to translate business problems into AI solutions; Design, build, test, deploy, and own the end-to-end LLM lifecycle; Rapidly prototype and iterate based on expert feedback; Implement agentic AI systems for multi-step reasoning and tool execution; Partner with investment teams to gain fluency in the technology stack
Seniority
Senior, hands-on IC