🔹Job 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, 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
🔹Requirements:
- 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
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