Lead AI Agent Developer

Responsibilities

• Design, build, and maintain production-grade AI agents and multi-agent workflows for enterprise use cases
• Integrate and operationalize AI/ML models and agent workflows into scalable production systems
• Implement orchestration using Semantic Kernel / Microsoft Agent Framework, LangGraph, LangChain, AutoGen, and/or Strands SDK
• Implement RAG, grounding, and prompt optimization to improve response quality and reduce hallucinations
• Integrate agents with internal and external systems via APIs and connectors
• Design and implement error handling, fallback flows, and escalation paths
• Perform testing and evaluation of agents and automation workflows
• Collaborate with architects and data teams to translate requirements into deployable AI solutions
• Support deployment, CI/CD, and release management (Azure DevOps)
• Monitor and continuously improve agent performance, reliability, and cost efficiency

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