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Pune F2F interview- Python AI Role

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Onsite

Pune F2F interview- Python AI Role

Epam Systems

Pune F2F interview- Python AI Role

Skills

Google Cloud PlatformDockerPythonAIAWSFastAPIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

1 September 2026

What they need


Role- Python AI Engineer

Exp Range- 5 to 15 yrs

Designation- Senior/ Lead developer

About the Role

We are looking for a passionate AI Engineer with strong expertise in Python and Agentic AI to build next-generation intelligent applications powered by Large Language Models (LLMs). You will design, develop, and deploy scalable AI agents, multi-agent systems, and production-grade Generative AI solutions using modern AI frameworks and cloud platforms.

Key Responsibilities

  • Design and develop AI-powered applications using Python and modern Generative AI frameworks.
  • Build and deploy single-agent and multi-agent AI systems for enterprise use cases.
  • Develop scalable RAG (Retrieval-Augmented Generation) solutions using vector databases and LLMs.
  • Build REST APIs and backend services using FastAPI.
  • Integrate AI applications with external tools, APIs, databases, and enterprise systems.
  • Optimize LLM performance through prompt engineering, evaluation, monitoring, and observability.
  • Collaborate with cross-functional teams to deliver secure, scalable, and production-ready AI solutions.
  • Follow best practices for testing, deployment, security, and Responsible AI.

Required Skills

  • 5+ years of software development experience with strong proficiency in Python.
  • Hands-on experience with LangGraph, LangChain, CrewAI, AutoGen, or similar agentic AI frameworks.
  • Strong understanding of LLMs, prompt engineering, tool calling, memory, and multi-agent orchestration.
  • Experience building RAG applications using vector databases such as Pinecone, Chroma, Weaviate, or Qdrant.
  • Hands-on experience with FastAPI and REST API development.
  • Knowledge of Model Context Protocol (MCP) or similar agent communication frameworks.
  • Experience with Git, Docker, CI/CD, and production deployment.
  • Strong problem-solving and debugging skills.

Good to Have

Experience with one or more cloud AI platforms:

  • Google Cloud: Vertex AI, Gemini, Google ADK
  • Microsoft Azure: Azure OpenAI, Azure AI Foundry, Azure AI Search
  • AWS: Amazon Bedrock, Bedrock Agents, AgentCoreRole & responsibilities

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