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Senior Artificial Intelligence Engineer - LLM / RAG

Senior Artificial Intelligence Engineer - LLM / RAG

HNR TechMumbai
30+ days ago
Job description

Contractual Role (12 Month Contract)

We are looking for an experienced AI Engineer specializing in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to develop and optimize AI-driven applications.

The ideal candidate will have hands-on experience in deploying, fine-tuning, and integrating LLMs with RAG architectures to enhance the efficiency and accuracy of AI-powered solutions.

Responsibilities :

  • Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks.
  • Implement and fine-tune models to improve response relevance and contextual accuracy.
  • Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding.
  • Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities.
  • Integrate AI models with enterprise applications and APIs.
  • Optimize model inference for performance and scalability.
  • Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives.
  • Ensure ethical AI implementation, addressing bias, explainability, and data security.
  • Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques.

Requirements :

  • 8+ years experience in software development according to development standards;
  • Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain.
  • Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies.
  • Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.
  • Solid understanding of NLP, deep learning, and transformer architectures.
  • Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.)
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows.
  • Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments.
  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities.
  • Bachelor's or Masters degree in computer science, AI, Machine Learning, or a related field.

    • Job Type & Work hours :

    Full-time, Permanent.

    Hybrid (23 days / week) from Airoli, Navi Mumbai.

    Monday to Friday.

    Benefits :

  • Help shape a brand-new offering that bridges offline retail with online presence.
  • Be a foundational team member alongside Product and QA.
  • Gain experience in scaling an operationally heavy, customer-focused tech service.
  • Competitive compensation, supportive team, and flexible work model.

    • (ref : hirist.tech)

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    Artificial Intelligence Engineer • Mumbai