Key Responsibilities
- Design and implement end-to-end AI systems for document intelligence, fraud detection, and automation workflows
- Develop and deploy RAG-based systems, conversational AI, and multi-agent workflows
- Fine-tune and optimize LLMs for domain-specific use cases with guardrails and evaluation pipelines
- Build real-time computer vision pipelines for OCR, object detection, and video analytics
- Develop high-performance AI services using FastAPI/Flask and integrate with enterprise systems
- Deploy models using containerized environments and CI/CD pipelines across AWS/Azure and edge environments
Requirements
- Strong expertise in Generative AI, RAG, and LLM fine-tuning with frameworks like PyTorch, TensorFlow, or Hugging Face
- Experience building scalable AI services and REST APIs in Python
- Proficiency in deploying AI systems on AWS/Azure with MLOps and CI/CD practices
- Hands-on experience with computer vision and document intelligence systems
- Ability to translate ambiguous business problems into robust AI solutions