Senior AI Engineer

• Define firm-wide standards for agent and MCP development
• Build reference agent applications for business teams
• Design patterns for connecting agents to internal databases, APIs, and knowledge sources
• Establish security and governance requirements for AI in a regulated trading environment
• Partner with Security on AI-specific controls (data access, audit, threat detection)
• Evaluate and adopt infrastructure for agent deployment and observability
• Partner with stakeholders to identify and deliver high-value use cases

• 5+ years software engineering; strong Python
• Production LLM-powered agent systems shipped (not demos)
• Experience integrating agents with databases, APIs, and internal data sources
• MCP and/or tool-calling experience in production
• Security experience in regulated or sensitive-data environments
• Kubernetes, CI/CD, observability
• Autonomous; strong communication with technical and non-technical stakeholders

Preferred

• Prop trading, hedge fund, or financial services
• Firm-wide platform or standards work
• Multi-model environments (Claude, GPT, etc.)
• Agent evaluation and testing in production