Manager – Forward Deployed Engineer, Agentic AI

- Build MCP servers and tools - Build RAG and memory state management - Build autonomous and semi autonomous agents - Build production AI services with APIs - Create reusable agent tools for action execution - Deploy AI agents in cloud environments - Design agent evaluation frameworks - Design agent harnesses with permissions guardrails and retries - Design and develop LLM-powered agents - Develop evaluation datasets and automated test suites - Develop verification mechanisms for agent actions - Establish regression testing for agent performance - Implement LLM as a judge and deterministic validation - Implement context engineering strategies - Implement human-in-the-loop workflows - Implement monitoring and observability for production agents - Implement scalable architectures for concurrent users and long running workflows - Integrate agents with enterprise applications APIs and databases - Integrate with Git CI CD Docker and observability tooling - Measure business impact and continuously improve agents - Translate business requirements into agentic solutions - Troubleshoot production issues and iterate with client feedback