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Strong employer brand, mid-level 5–10 years, and metro location increase applicant competition.
Highly specialized agentic AI skills require strong ML/LLM background, limiting cross-industry transfers.
Multiple mandatory ML/LLM, tooling, cloud, and 5–10 years experience requirements raise filter strictness.
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Design and develop enterprise-grade agentic AI applications involving planning, reasoning, tool integration, and multi-step workflows.
Implement and productionize AI/ML and Generative AI solutions using Python, orchestration workflows, and cloud platforms (Azure/AWS).
Define and execute evaluation frameworks for AI agents, collaborate cross-functionally for secure, scalable, and measurable AI solutions.
5–10 years of professional experience with strong hands-on Python-based AI/ML or software development.
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or related field.
Practical experience with LLMs/Generative AI (e.g., GPT, Claude) and agentic AI concepts including planning, reasoning, routing, tool calling, and workflow orchestration.
Experience deploying AI solutions on cloud platforms such as Azure or AWS; On-premise work schedule required.
Experienced in building modular, testable, and production-quality AI applications focused on agentic AI using frameworks like LangChain or Semantic Kernel.
Skilled at designing evaluation methodologies and collaborating with cross-functional teams to translate business requirements into technical AI solutions.
Comfortable working in enterprise and regulated environments deploying secure, scalable, and monitored AI agents with strong knowledge of deployment and governance best practices.