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Mid-senior GenAI specialization in metros creates moderate competition despite non-Tier1 employer.
Specialized GenAI and agent orchestration skills are transferable across industries but remain domain-specific.
Explicit 6–9 years plus niche GenAI, agent orchestration and cloud requirements increase filter strictness.
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Design and implement enterprise-grade Generative AI solutions using LLM/agent orchestration frameworks such as Lang Graph and CrewAI.
Develop and deploy systems leveraging Retrieval-Augmented Generation (RAG) and context augmented generation techniques.
Utilize Fast API and Azure cloud infrastructure to operationalize AI models and frameworks in hybrid working locations (Chennai, Pune, Coimbatore, Bangalore).
6 to 9 years of relevant experience in data science or AI solution development.
Strong expertise with agent/LLM orchestration frameworks (e.g., Lang Graph, CrewAI).
Skilled in implementing Retrieval-Augmented Generation (RAG) or Context Augmented Generation (CAG).
Availability to work immediately; hybrid location requirement in Chennai, Pune, Coimbatore, or Bangalore.
Experienced in enterprise-grade GenAI pattern design and end-to-end solution deployment.
Proficient working with modern AI tooling and cloud platforms, specifically Azure.
Capable of handling hybrid work environments and operating across multiple Indian tech hubs (Chennai, Pune, Coimbatore, Bangalore).