Lead AI Engineer

Key Responsibilities

• Design and develop

  Generative AI solutions

  using state-of-the-art LLMs (GPT, Claude, LLaMA, Mistral, etc.).
• Build and optimize

  RAG pipelines

  , chunking strategies, and knowledge retrieval systems.
• Develop

  Document AI applications

  for OCR, table recognition, entity extraction, and compliance checks.
• Implement

  Computer Vision models

  (object detection, face recognition, image classification).
• Build and deploy scalable AI services using

  FastAPI, Docker, and cloud platforms (AWS/GCP/Azure)

  .
• Apply

  MLOps/LLMOps practices

  for continuous deployment and monitoring of AI models.
• Collaborate with cross-functional teams to integrate AI solutions into products and workflows.

Required Skills

• Strong hands-on experience with

  Python

  and AI/ML frameworks (

  PyTorch, TensorFlow, Keras

  ).
• Proven experience in

  Generative AI, LLMs, NLP pipelines, and Document AI

  .
• Good understanding of

  RAG, embeddings, re-ranking, and NL2SQL

  .
• Practical experience with

  Computer Vision frameworks

  (YOLO, Faster RCNN, OpenCV, etc.).
• Exposure to

  FastAPI, REST APIs, Docker, and cloud platforms

  .
• Familiarity with

  MLOps tools

  (MLflow, Kubeflow, etc.).
• Strong problem-solving and research abilities.