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 .