Generative AI Engineer Microsoft Azure

5 - 10 years

8 - 18 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Generative AI Engineer

Key Responsibilities

  • Design, develop, and deploy

    Generative AI solutions

    using

    LLMs

    ,

    RAG pipelines

    , and

    multimodal AI frameworks

    .
  • Implement

    transformer-based

    and

    diffuser-based

    models such as

    BERT, GPT, T5, Llama, Stable Diffusion

    , etc.
  • Work with

    Vector Databases

    (e.g., Pinecone, FAISS, Chroma, Weaviate) for embedding storage, retrieval, and indexing.
  • Develop

    prompt engineering

    and

    context-based prompting

    techniques for improved AI accuracy and response quality.
  • Utilize

    Microsoft Azure AI services

    (e.g., Azure OpenAI, Azure Cognitive Services, Azure ML) for model hosting, orchestration, and monitoring.
  • Integrate

    agentic AI frameworks

    and pipelines into enterprise solutions.
  • Collaborate with cross-functional teams to design robust and scalable AI architectures.

Required Skills & Qualifications

  • 2+ years

    of hands-on experience in

    AI/ML

    model development, deployment, and optimization.
  • Strong understanding of

    Generative AI concepts

    LLMs, RAG, multimodal systems, LangChain, Hugging Face, and open-source model ecosystems.
  • Practical experience with

    Vector Databases

    and

    embedding management

    .
  • Cloud experience:

    At least one major platform, preferably

    Microsoft Azure

    (Azure AI, Azure OpenAI, Azure ML).
  • Programming proficiency

    in one or more languages:

    Python, C, C++, C#, Java

    .
  • Solid grasp of

    transformer

    and

    diffusion model architectures

    .
  • Strong problem-solving, analytical, and communication skills.

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