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Mid-level (3+ yrs) metro role but niche GenAI agent skillset reduces candidate pool.
Specialized GenAI agent engineering skills are broadly transferable across industries despite pharma context.
Requires 3+ years plus specific GenAI, LangChain, AWS, and agent orchestration experience.
Build and deploy production-grade LLM-powered agents and agentic workflows with a focus on multi-agent interoperability and workflow orchestration.
Optimize AI/agentic systems for evaluation, tracing, observability, latency, and performance in live environments.
Implement security guardrails, human-in-the-loop controls, and robust failure/recovery mechanisms for reliable AI services.
3+ years experience in software engineering, ML, or Generative AI application development involving production deployment of LLM agents.
Strong programming skills in Python and/or TypeScript with experience in production AI applications.
Hands-on experience with LangGraph, LangChain, AWS, and AWS AgentCore technologies.
Work Experience Required: 3+ years
Deep expertise in agent architecture including prompting, tool calling, planning/reasoning, memory and context management.
Experienced in designing complex multi-agent workflows with standards like A2A and MCP for agent interoperability.
Comfortable managing AI system performance, security, and human-in-the-loop control in cloud-native environments.