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python Gen Ai Developer

People Prime Worldwide

2 - 5 years

Pune

Posted: 18/03/2026

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Job Description

Job Title: Gen Ai Developer with Python

Location: Pune, hyderabad(Hybrid)

Experience: 5 to 11 Years (STRICTLY)

Employment Type: Permanent

Notice Period: Immediate Joiners Only

CTC: Up to 21LPA


About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.


Job Description

Key Responsibilities

  • Design, develop, and deploy Generative AI solutions using Python and modern LLM frameworks
  • Build Agentic AI systems capable of autonomous decisionmaking, task orchestration, and multiagent workflows
  • Implement and integrate Model Context Protocol (MCP) for standardized agenttool communication
  • Develop AI agents that interact with external systems, APIs, databases, and enterprise tools
  • Design and optimize RAG (RetrievalAugmented Generation) pipelines and prompt strategies
  • Integrate GenAI solutions with AWS services (Bedrock, Lambda, S3, API Gateway, etc.)
  • Ensure scalability, performance, security, and reliability of AI applications
  • Collaborate with product, architecture, and engineering teams to embed AI into business workflows
  • Follow best practices for AI governance, observability, and responsible AI usage


Primary Skills (Mandatory)

  • Python Strong handson coding experience
  • Generative AI / LLMs (OpenAI, Claude, LLaMA, Mistral, etc.)
  • Agentic AI frameworks (LangChain, CrewAI, AutoGen, or similar)
  • Model Context Protocol (MCP) agenttool integration and orchestration
  • Prompt engineering, context management, and AI workflow design


Secondary Skills (Good to Have)

  • AWS Cloud (Bedrock, EC2, Lambda, S3, IAM, CloudWatch)
  • Vector databases (Pinecone, FAISS, ChromaDB, OpenSearch)
  • REST APIs, microservices, and system integrations
  • Docker, CI/CD pipelines, basic MLOps exposure
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