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Strong PwC brand and Pune metro increase applicant density, but specialized GenAI/LLM skills limit competition.
Niche LLM/GenAI, RAG, LangChain and Bedrock expertise makes backgrounds less transferable across industries.
Explicit 4–12 years plus mandatory GenAI, LangChain, Bedrock, and FastAPI skills enforce high screening strictness.
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Design and develop scalable Agentic AI systems using modern LLM frameworks and build Retrieval-Augmented Generation (RAG) pipelines.
Develop intelligent AI agents with orchestration frameworks and integrate AI solutions with cloud services and enterprise systems.
Collaborate cross-functionally to deploy production-ready AI applications ensuring performance optimization, observability, and monitoring of AI workflows.
4-12 years of work experience in related AI and software development roles.
Strong proficiency in Python and experience in Generative AI development including building RAG-based solutions.
Working knowledge of LangChain, LangSmith, LangGraph, and orchestration frameworks; experience with AWS Bedrock and LLM APIs.
Educational qualifications: Bachelor of Engineering, MBA, M.Tech, or MCA.
Experienced in deploying Agentic AI using modern large language model (LLM) frameworks within cloud enterprise environments.
Skilled in integrating AI workflows with AWS cloud services and maintaining performance monitoring and MLOps.
Capable of collaborating with cross-functional teams to scale AI solutions and streamline deployment of production-ready applications.