GenAI Engineer

Must have strong experience with DataBricks, Python, RAG and React Experience in implementing real projects using Gen AI, Fine tuning LLMs , RAG. Experience in implementing enterprise level Agentic solution using any of the open frameworks (Langgraph, Google ADK, CrewAI, etc.) Understanding of Both Opensource and Open AI LLMs and RAG architecture. Experience with vector databases / embeddings. Experience in Document AI / OCR / extraction solutions and structured output creation\Experience in databricks integration experience ins mandatory Exposure implementing multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, Deep learning, NLPFamiliarity with NLP literature, thrust areas, conference venues, and code repositories Familiarity with UI tools like Streamlit, flask etc , FAST APIs , Rest APIs , Docker containers Proficiency in Python, pytorch , SQL and other programming languages for data analysis and modeling with atleast 3+ years of experience. Proficiency in libraries such as OpenAI API Proficiency with cloud development environments such as Azure, AWS, and Google Cloud Platform Proven good grasp of using LLMs, Deploying LLMs Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

React

Depends on Experience