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Tier-1 brand, Pune metro location, and mid-level role increase competition despite GenAI specialization.
Core GenAI skills transfer broadly, but agentic and RAG experience raises domain-specific fit sensitivity.
Explicit 4+ years requirement plus specific GenAI, RAG, and Python skills create stringent filters.
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Contribute to building and integrating generative AI applications using pre-trained models via managed APIs and open endpoints.
Support context engineering workflows, prompt engineering, and development of Retrieval-Augmented Generation (RAG) components and knowledge graph pipelines under guidance.
Assist in developing agentic AI workflows and integration with external tools, along with deployment and maintenance of AI applications in production.
Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
4+ years total experience with at least 2-4 years professional experience in software/AI development including generative AI and agentic AI exposure.
Proficiency in Python and experience with prompt engineering, RAG systems, knowledge graphs, and agentic AI frameworks such as Google ADK, LangGraph, or CrewAI.
Familiarity with GenAI APIs (OpenAI, Gemini, Claude), orchestration frameworks (LangChain, LlamaIndex), containerization (Docker), version control (Git), and knowledge of AI compliance and responsible AI principles.
Experience operating within a collaborative development team contributing to AI/GenAI projects with progressive ownership of components.
Practitioner comfortable with applying generative AI techniques including prompt engineering, RAG, agentic workflows, and AI integration pipelines.
Candidate with exposure to cloud AI/ML environments, containerized deployments, and familiarity with agent protocols and tooling for scalable AI app development.