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Hot GenAI skillset, mid-level (3–5 yrs), metro location, and broad skill requirements increase applicant competition.
Specialized GenAI agent development and RAG experience make cross-industry transferability limited.
Explicit 3–5 years and mandatory Foundry/Copilot/GenAI production experience create strict screening.
Design, build, and deploy AI agents using AI Foundry and Copilot Studio to solve business problems with capabilities like tool/function calling, multi-step planning, and task decomposition.
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and integrate enterprise data sources for AI agent usage.
Implement production readiness practices including evaluation frameworks, observability, security, compliance, and collaborate with stakeholders to deliver measurable outcomes.
3–5 years software engineering experience with Python/Java/TypeScript and production deployment.
Hands-on experience building AI agents in AI Foundry and Copilot Studio including agent workflows, tool integration, deployment.
Strong understanding of LLMs and prompt engineering patterns such as system prompts, structured outputs, function/tool calling, chain-of-thought-safe methods.
Experience with RAG techniques, embeddings, vector search, data integration with REST APIs, microservices, message queues, and databases.
Experienced in designing complex AI agent workflows and integrating multi-source enterprise data with governance considerations.
Comfortable implementing full production lifecycle including automated evaluations, observability, security policies, and performance optimizations.
Familiar with GenAI development best practices, AI model governance, and working in collaborative environments translating requirements into scalable AI agent solutions.