Generative AI Engineer

2 days ago

Chennai, Tamil Nadu, India Saint-Gobain Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Data Scientist – RAG & Edge AI Systems

Location: Chennai

Experience: 3+ years

Joining: Immediate to 30 days preferred

About the Role

We are seeking a
Data Scientist
with strong experience in
RAG (Retrieval-Augmented Generation)
,
LLMs
, and
Edge AI processing
to join our growing AI engineering team.

This role combines
hands-on engineering
with
strategic AI design

Key Responsibilities

  • Design and develop
    LLM and RAG-based systems
    that enhance knowledge discovery, automation, and decision support.
  • Build and orchestrate
    end-to-end AI pipelines
    using
    Azure AI Studio
    ,
    Logic Apps
    , and
    Data Factory
    .
  • Develop APIs and microservices for AI model integration with business and plant systems.
  • Optimize and deploy deep learning models to
    edge devices
    (e.g.,
    NVIDIA Jetson
    ,
    AI PCs
    ) for real-time inference.
  • Fine-tune LLMs for
    domain-specific tasks
    , balancing accuracy, speed, and compute efficiency.
  • Collaborate cross-functionally with
    data engineers, software developers, and domain experts
    to bring AI prototypes to production.
  • Monitor model performance, automate retraining pipelines, and ensure compliance with
    data governance
    and
    security standards
    .

Required Skills & Experience

  • RAG & LLMs:
    Experience building Retrieval-Augmented Generation systems using frameworks such as
    LangChain
    ,
    LlamaIndex
    , or
    Azure OpenAI Service
    .
  • Azure Stack:
    Hands-on experience with
    Azure AI Studio
    ,
    Azure Machine Learning
    ,
    Logic Apps
    ,
    Functions
    , and
    Data Factory
    .
  • Programming:
    Strong proficiency in
    Python
    , with experience in
    PyTorch
    ,
    TensorFlow
    ,
    LangChain
    , and
    FastAPI
    .

Edge AI Processing:

  • Deploying and optimizing models on edge devices
    such as
    NVIDIA Jetson
    ,
    Intel AI PCs
    , or
    ARM-based systems
    .
  • Proficiency in
    TensorRT
    for real-time inference.
  • Familiarity with
    Docker
    and
    remote monitoring
    for distributed edge workloads.
  • Data Handling:
    Experience with
    SQL
    and
    vector databases
    for retrieval and embedding management.
  • Visualization & Monitoring:
    Experience building
    dashboards
    using
    Power BI
    ,
    Streamlit
    , or similar tools for inference metrics and explainability.

Preferred / Nice-to-Have

  • Strong understanding of
    vector search optimization
    ,
    document embeddings
    , and
    semantic retrieval
    at scale.
  • Experience with
    multimodal AI systems
    (text and image) for industrial or enterprise use.
  • Understanding of
    model compression
    ,
    quantization
    , and
    GPU optimization
    for on-device AI.
  • Experience integrating AI models with
    manufacturing systems
    (MES, SCADA, or PLC data).
  • Familiarity with
    Elixir/Phoenix
    for chatbot or API integration within enterprise platforms.
  • Awareness of
    AI safety, ethical AI
    , and
    data privacy frameworks
    in regulated environments.

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