Python Developer (LLM / Gen AI)

6 - 10 years

15 - 30 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Position: Python Developer LLM / Gen AI

Location: Ahmedabad (Onsite)

Shift Time: 2pm to 11pm

Experience: 6+ Years

Job Overview:

highly skilled Python Developer

Key Responsibilities:

  • Develop and maintain scalable backend systems and AI-driven workflows using Python.
  • Work on various POD teams focusing on:
  • OpenAPI integrations
  • Google Dialogflow
  • NovaSonic / AWS platform initiatives
  • Evaluate and experiment with AWS Strands as a multi-agent framework.
  • Conduct analysis, build PoCs, and deliver recommendations for assigned POD tasks.
  • Contribute to setting up and maintaining data pipelines and other AWS-based infrastructure.
  • Analyze and optimize LLM performance, ensuring high-quality outputs and responsiveness.

Technical Environment:

  • Core Cloud Platform: AWS (approximately 75% of workloads)
  • LLMs / AI Models:
  • NovaSonic
  • OpenAI (GPT models)
  • Nova Lite and other AWS Bedrock models

Required Skills & Qualifications:

  • Strong proficiency in Python programming

    must be hands-on and able to support technical implementation.
  • Solid understanding of LLMs, Gen AI concepts, and Agentic AI

    (theoretical knowledge is essential).
  • Familiarity with

    agentic frameworks

    such as:
  • Strands

  • LangGraph

  • ADK (Agent Development Kit)

    – working knowledge is acceptable even if not implemented before.
  • Experience in

    AWS cloud services

    for deploying AI applications and building data pipelines.
  • Strong

    analytical and problem-solving skills

    to evaluate model performance and guide improvements.
  • Ability to clearly articulate ideas, findings, and technical recommendations to both technical and non-technical teams.

Preferred Attributes:

  • Experience with

    multi-agent orchestration frameworks

    .
  • Exposure to

    prompt engineering

    ,

    RAG architecture

    , or

    LLM evaluation frameworks

    .
  • Hands-on experience with

    AWS AI/ML ecosystem

    and

    Bedrock integrations

    .

(Relocation policy will be applicable as per the company's terms and conditions.*)

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