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Pune metro and mid-tier brand but niche GenAI lead specialization limits applicant density.
Specialized GenAI, RAG, and enterprise integration skills make cross-industry fit moderate rather than highly transferable.
Explicit 7–12 years, mandatory GenAI/LLM, RAG and production deployment experience increases filter strictness.
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Design, develop, and deploy scalable AI/GenAI applications, including RAG pipelines and intelligent workflow automation for enterprise business processes.
Build backend services, APIs, and orchestration frameworks leveraging LLMs, model APIs, and enterprise data to create AI-powered knowledge assistants and decision support tools.
Define AI evaluation frameworks and optimize solutions for performance, scalability, security, cost, and production-readiness in collaboration with cross-functional teams.
7–12+ years of experience in Software Engineering, AI/ML, or GenAI application development with proven production deployment.
Strong expertise in Python, backend development, APIs, system integration, workflow orchestration, and hands-on experience with RAG, LLMs, prompt engineering, and AI observability.
Experience integrating enterprise applications, data platforms, and services using APIs and event-driven architectures is mandatory.
Work Experience Required: 7–12+ years as explicitly mentioned in the JD.
Experienced in translating ambiguous business problems into scalable AI solutions with strong analytical and systems thinking skills.
Demonstrates deep technical expertise in building reusable AI components, frameworks, and accelerators to drive enterprise AI adoption.
Comfortable working in secure, production-grade environments integrating AI into diverse enterprise systems and workflows.