Required Skills & Experience :
- Proficiency in Python and libraries relevant to AI / ML and NLP.
- Deep understanding of LLMs, including prompt tuning, fine-tuning, and deployment.
- Experience with prompt engineering best practices.
- Strong knowledge of vector databases and similarity search.
- Experience with RAG architecture design and optimization.
- Familiarity with LangChain, LangGraph, AutoGen, or similar agent frameworks.
- Working knowledge of computer vision libraries (OpenCV, Pillow, etc.).
- Experience in document processing and information extraction from unstructured data.
- Knowledge of tools like Hugging Face, Transformers, PyTorch, or TensorFlow.
Preferred Qualifications :
Experience with LLM orchestration and tools like Flowise, LlamaIndex, or Haystack.Exposure to cloud platforms (AWS, Azure, GCP) and deployment tools (Docker, Kubernetes).Experience with data privacy and AI model governance in enterprise environments.Background in knowledge graphs, semantic search, or metadata-driven search pipelines.