Engineer - Gen AI

1 week ago

Gurgaon, Haryana, India Intersoft Data Labs Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are seeking an experienced Generative AI professional with expertise in designing and deploying Large Language Models (LLMs) from scratch as well as fine-tuning and optimizing existing models. The role requires deep technical skills, creativity, and hands-on experience in building scalable GenAI solutions across text, image, and multimodal domains.

Key Responsibilities:

  • Design and build LLMs from scratch, including data pipeline creation, tokenization strategies, and training at scale.
  • Fine-tune and optimize pre-trained models for specific enterprise use cases.
  • Research, experiment with, and implement cutting-edge architectures in generative AI (transformers, diffusion, multimodal).
  • Develop prompt engineering, RAG (Retrieval Augmented Generation), and knowledge integration pipelines.
  • Collaborate with cross-functional teams to translate business problems into GenAI-powered solutions.
  • Deploy and monitor models in production with focus on scalability, security, and performance.
  • Ensure compliance with ethical AI practices, governance, and responsible AI usage.
  • Document design, experiments, and best practices to contribute to organizational AI knowledge base.

Required Skills & Qualifications:

  • Proven experience in LLM design and training from scratch, including data preparation, distributed training, and evaluation.
  • Strong background in deep learning, NLP, and transformer architectures.
  • Strong development experience in Python development and ML frameworks.
  • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Milvus) and RAG pipelines.
  • Solid understanding of MLOps practices, containerization (Docker, Kubernetes).
  • Must have Good Experience in AWS Cloud and its Services.
  • Ability to optimize model inference, reduce latency, and manage large-scale deployments.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:

  • Research or published work in LLMs or generative AI.
  • Contributions to open-source AI frameworks or libraries.
  • Exposure to multimodal AI (vision-language models, audio, video).
  • Familiarity with AI regulation, compliance, and governance standards.

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