Senior/Lead AI/ML Engineer

📋 Description Design and implement production LLM-powered conversational agents Build robust agent orchestration systems: state, pause/resume, routing Develop tooling via MCP/gateway architectures: schema, auth, idempotency Create and maintain evaluation frameworks for LLM performance Operate and deploy systems in a production AWS environment Collaborate with internal stakeholders in an embedded delivery model 🎯 Requirements Proven production LLM agents with tool use Strong Python expertise Hands-on with agent orchestration: state machines, routing Tool integration frameworks (MCP or gateway) Production AWS: EKS, Lambda, IAM, Bedrock Logging & monitoring in production environments LLM observability platforms (Arize AX, Langfuse, Phoenix) 🎁 Benefits AWS Bedrock and AgentCore experience Strands or LangGraph / LangChain familiarity Governed memory systems experience Regulated environments background (fintech, banking)