Senior AI Engineer
Core
Define firm-wide standards for agent and MCP development, build reference agent applications, and design patterns for connecting agents to internal databases and APIs.
Role type
Senior IC AI Engineer (Agent Systems & Standards)
Builds
Production agent systems and reference implementations for firm-wide AI adoption
Domain
Financial services / Proprietary trading / AI Infrastructure
Deliverable
production ML models
Required skills
Python, LLM-powered agent systems, MCP and tool-calling, database/API integration, Kubernetes, CI/CD, observability
Preferred skills
Prop trading experience, firm-wide platform work, multi-model environments, agent evaluation
Technologies
Python, Kubernetes, CI/CD, MCP, LLMs (Claude, GPT)
Responsibilities
Define firm-wide standards for agent and MCP development, Build reference agent applications for business teams, Design patterns for connecting agents to internal databases and APIs, Establish security and governance requirements for AI, Evaluate and adopt infrastructure for agent deployment and observability, Partner with stakeholders to identify and deliver high-value use cases
Seniority
Senior, hands-on IC