Python Developer - Generative AI

5 - 10 years

15 - 30 Lacs

pune bengaluru mumbai (all areas)

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Python Developer Generative AI

Experience Required

5+ years of software development experience, including at least 2+ years working with Generative AI, LLM-based systems, and API integrations. Experience in architectural decision-making and leading small teams is a strong plus.

Role Overview

end-to-end GenAI-powered solutions

You will work across the development lifecycle — from design, build, testing, debugging, and deployment — collaborating closely with product, design, and infrastructure teams.

Key Responsibilities

  • Hands-on Development:

    Build and maintain GenAI-powered applications using Python (beyond Jupyter notebooks) and modern frameworks such as FastAPI/Flask/Django.
  • GenAI Integration:

    Work with LLMs, RAG pipelines, embeddings, and vector search using APIs (OpenAI, Azure OpenAI, Anthropic, O'lama, Mysteral).
  • On-Premise LLM Hosting:

    Contribute to setup, fine-tuning, and ongoing support for self-hosted or enterprise LLM deployments.
  • Microservices Engineering:

    Design and implement resilient microservices with tracing, fallbacks, latency optimization, and monitoring.
  • Deployment & Production Support:

    Write Dockerfiles, assist with Kubernetes deployments, set up CI/CD pipelines, and ensure smooth environment progression.
  • Production Readiness:

    Implement logging, tracing, debugging, and black-box testing strategies to ensure reliability in live environments.
  • Collaboration:

    Partner with product, infrastructure, and QA teams to ensure timely, high-quality delivery.

Must-Have Skills & Experience

  • Python Development:

    Production-grade coding experience (not just notebooks).
  • API & Microservices:

    Strong expertise in designing and building RESTful APIs and event-driven microservices.
  • GenAI Tools:

    Experience with LangChain, Hugging Face Transformers, vector databases (Pinecone, Weaviate), embeddings, and RAG pipelines.
  • Prompt Engineering & Fine-Tuning:

    Ability to design prompts, mitigate hallucinations, and tune LLMs for business use cases.
  • Cloud & Deployment:

    Familiarity with AWS/GCP/Azure, Docker, Kubernetes, and CI/CD pipelines.
  • Production Support:

    Proven ability to troubleshoot, debug, and support applications in live environments.

Preferred Skills

  • Experience with

    LLMOps tools

    (MLflow, Weights & Biases, Trulens, PromptLayer).
  • Exposure to

    multi-modal GenAI

    (text, image, audio).
  • Understanding of

    Agentification

    ,

    MCP (Multi-Context Protocol)

    , and

    code conversion tools

    .
  • Contributions to open-source projects or building internal developer tooling.

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