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Sr. Gen AI Engineer

12 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position:

Type:

Location:

Secondary - Chennai / Pune / Bangalore / Noida

Experience Required:

About the Role:

Senior Generative AI Engineer

Key Responsibilities:

  • Design and implement GenAI/LLM-based systems using tools such as

    Langchain

    and

    Retrieval-Augmented Generation (RAG)

    pipelines.
  • Apply advanced

    prompt engineering

    techniques and develop

    agent-based frameworks

    for intelligent, context-aware applications.
  • Collaborate with engineering teams to shape the technical strategy and roadmap for LLM-related initiatives.
  • Translate complex business requirements into scalable, production-grade AI solutions.
  • Partner with business SMEs and data teams to align AI models with real-world use cases.
  • Participate in architecture discussions, conduct code reviews, and drive performance optimizations.

Required Skills & Qualifications:

  • Strong programming skills in

    Python

    , along with experience in

    Langchain

    and

    SQL

    .
  • Solid understanding of LLM internals, including

    prompt tuning

    ,

    embeddings

    ,

    vector databases

    , and

    agent workflows

    .
  • Proven background in

    machine learning

    or

    software engineering

    with a focus on system-level thinking.
  • Experience with cloud platforms such as

    AWS

    ,

    Azure

    , or

    GCP

    .
  • Self-motivated and capable of working independently while effectively collaborating with cross-functional teams.
  • Excellent communication skills with the ability to manage diverse stakeholders.

Preferred Qualifications:

  • Minimum

    1 year of hands-on experience

    working with

    LLMs

    and

    Generative AI techniques

    .
  • Experience in building or contributing to

    ML/AI product pipelines

    and

    end-to-end deployments

    .
  • Familiarity with

    MLOps

    practices and scalable deployment architectures for AI models.
  • Prior experience working on

    client-facing projects

    or within

    cross-functional AI teams

    .

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