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Lead Gen AI Engineer - Immediate Joiners (Bengaluru, Chennai, Gurgaon & Pune)

0 years

0 Lacs

Gurugram Haryana India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

ai consulting software engineering data automation agile addition development portfolio training support cutting aws learning design ml sagemaker tuning retrieval model scalability compliance mistral python pytorch security governance certifications graphs collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

About Xebia

echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization.

US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.


Job Title: Generative AI Engineer

Exp: 8 - 12 yrs

Location: Bengaluru, Chennai, Gurgaon & Pune


Job Summary:

Generative AI Engineer


Key Responsibilities:


  • Design, develop, and deploy

    Generative AI models and pipelines

    for real-world use cases.
  • Build and optimize solutions using

    AWS AI/ML services

    , including

    Amazon Bedrock

    , SageMaker, and related cloud-native tools.
  • Develop and orchestrate

    Agentic AI systems

    , integrating autonomous agents with structured workflows and dynamic decision-making.
  • Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions.
  • Implement

    prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)

    techniques to optimize model performance.
  • Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments.


Required Skills & Qualifications:


  • Strong experience with

    Generative AI models

    (e.g., GPT, Claude, Mistral, etc.)

  • Hands-on experience with Amazon Bedrock and other AWS AI/ML services.

  • Proficiency in

    building and managing Agentic AI systems

    using frameworks like LangChain, AutoGen, or similar.
  • Solid understanding of

    cloud-native architectures

    and

    ML Ops

    on AWS.
  • Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.)
  • Familiarity with security, cost, and governance best practices for GenAI on cloud.


Preferred Qualifications:


  • AWS certifications (e.g.,

    AWS Certified Machine Learning Specialty

    )
  • Experience with

    LLMOps tools

    and vector databases (e.g., Pinecone, FAISS, Weaviate)
  • Background in NLP, knowledge graphs, or conversational AI.


Why Join Us?

  • Work on cutting-edge AI technologies that are transforming industries.
  • Collaborative and innovative environment.
  • Opportunities for continuous learning and growth.

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