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Niche GenAI/RAG skillset and seniority reduces candidate pool despite Pune metro presence.
Role requires deep GenAI, RAG, and production AI platform experience, limiting industry-transferable candidacy.
Explicit 7–12+ years requirement plus mandatory GenAI, RAG, and production deployment expertise enforces strict filtering.
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Design, develop, and deploy scalable enterprise-grade AI/GenAI solutions including RAG pipelines and intelligent process automation.
Build backend services, APIs, and orchestration frameworks integrating LLMs and enterprise data for AI-powered applications and workflows.
Collaborate cross-functionally to identify high-value AI use cases and rapidly prototype to production-ready, secure deployments with a focus on performance and governance.
7–12+ years experience in Software Engineering, AI/ML, or GenAI application development.
Proven track record of building and deploying production-grade AI/GenAI solutions.
Strong skills in Python, backend development, APIs, system integration, and workflow orchestration.
Experience with RAG, LLMs, prompt engineering, AI evaluation, and enterprise data integration via APIs/event-driven architectures.
Experienced in operationalizing AI/GenAI technologies in enterprise environments focusing on scalable, secure, and observable solutions.
Demonstrates systems thinking to translate ambiguous business challenges into effective AI workflows and decision support tools.
Proficient at building reusable AI frameworks and accelerating AI adoption across diverse enterprise teams and functions.