- Education: Master's or PhD Preferred - 6-12+ years in Data Science / ML Engineering, with deep experience in LLM-based systems. Proven experience building multi-agent architectures (planner-executor, tool-use agents, ReAct-style reasoning). Strong background in RAG, embeddings, retrieval optimization, and evaluation. Expertise in NLP, transformers, deep learning, and model fine-tuning. Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, RAG, Kubernetes, and vector databases. Experienc