Agentic AI Lead

Extensive hands-on experience of frameworks and libraries: • Proficient in scikit-learn and SciPy for ML algorithms • Hands-on experience within python with PyTorch and experience in developing enterprise python applications • Skilled in natural language processing tasks (entity recognition, tokenization etc) • Strong knowledge of API/Microservices, Async programming, multithreading, performance, reliability, caching, event driven design, data pipelines, workflows, queues • Hands-on with Amazon SageMaker for building, training, and deploying scalable machine learning models in cloud. • Experience of Building rapid applications using FastAPI and Streamlit, Matplotlib, seaborn enabling prototyping. • Good understanding of Software Engineering, Architecture, testing, code quality principles and test driven development (TDD) Must Have: Generative AI & LLMs • Proficient in context-aware prompts to drive optimal performance from LLMs for summarization, reasoning, extraction, and classification tasks. • Hands-on experience in designing intelligent retrieval pipelines that combine vector databases like FAISS with semantic search mechanisms. • Should have Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph. • Experience of Clustering techniques and classification models