Senior Python Developer and Agentic LLM Engineer

3 - 8 years

15 - 25 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

1. Agentic LLM Developer (3 Positions)

Experience:

About the Role:

Key Responsibilities:

  • Build and deploy LLM-driven agent workflows using

    MCP (Modular/Agent Workflow Mindset)

    .
  • Integrate

    Knowledge Graphs (KG)

    for enhanced reasoning and contextual understanding.
  • Collaborate with cross-functional teams to design scalable and efficient architectures.
  • Continuously fine-tune and evaluate LLM performance across diverse tasks.
  • Research and implement state-of-the-art approaches in agentic AI and automation.

Requirements:

  • Minimum

    2 years of hands-on experience

    with LLMs (OpenAI, Anthropic, Hugging Face, etc.).
  • Strong understanding of

    agent workflow orchestration

    and

    tool integration

    .
  • Experience with

    KG frameworks

    and

    semantic reasoning

    .
  • Proficiency in

    Python

    and familiarity with AI libraries like LangChain, LlamaIndex, or similar.
  • A mindset for experimentation, scalability, and innovation.

Nice to Have:

  • Experience building custom tools or function-calling workflows for agents.
  • Exposure to reinforcement learning or autonomous system design.

2. Senior Python/Django Developer (2 Positions)

Experience:

About the Role:

Key Responsibilities:

  • Architect, design, and maintain robust and scalable backend systems using

    Python/Django

    .
  • Lead end-to-end development for mission-critical modules.
  • Optimize system performance, reliability, and maintainability.
  • Collaborate closely with product and AI teams to integrate intelligent features.
  • Mentor junior developers and set engineering best practices.

Requirements:

  • 10+ years

    of experience with

    Python/Django

    in production environments.
  • Proven track record of leading complex backend projects independently.
  • Expertise in

    API design

    ,

    microservices

    , and

    database optimization

    .
  • Strong understanding of system architecture, scalability, and performance tuning.
  • Excellent communication and problem-solving skills.

Nice to Have:

  • Experience integrating AI or LLM-based systems into web platforms.
  • Familiarity with DevOps tools (Docker, AWS, CI/CD).

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