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Generative AI Engineer

Generative AI Engineer

Saint-GobainChennai, Tamil Nadu, India
6 hours ago
Job description

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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    Generative Ai Engineer • Chennai, Tamil Nadu, India