7 - 12 years

25 - 30 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

What you will do

  • Build robust backend services and APIs using Python (FastAPI, asyncio) for GenAI workflows and LLM-based systems.
  • Develop and maintain GenAI applications using tools like LangChain, LangGraph, and Cohere, integrating them with custom APIs and data sources.
  • Contribute to systems that enable intelligent routing of prompts, dynamic tool execution, and seamless model-data integration across multiple sources
  • Write clean, modular code for model integration, semantic search, and multi-step agent workflows.
  • Package and deploy applications using Docker and Kubernetes, ensuring scalability and security.
  • Collaborate with data engineers, AI scientists, and infra teams to ship end-to-end features quickly, without sacrificing quality.

What you need to succeed

Must Have

  • Strong backend development skills in Python
  • Solid understanding of machine learning and generative AI
  • Degree in Computer Science or Engineering
  • Experience deploying services with Docker and Kubernetes in a cloud environment.
  • Familiarity with LLM APIs (OpenAI, Cohere) and how to build prompt-based applications around them.
  • Comfortable writing and debugging PySpark jobs and working with Delta Lake in Databricks.
  • Experience working with Git workflows, CI/CD, and container-based deployments.

Nice to Have

  • Experience with LangChain, LangGraph, or other LLM orchestration frameworks.
  • Experience building and deploying MCP Servers, AI Agents
  • Experience with any vector database.
  • Experience with ML FLow

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