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Bachelor’s or Master’s in Computer Science, AI/ML, or related field ( preferred). 2+ years building and deploying AI applications with LLMs (OpenAI, Anthropic, HuggingFace). Strong Python skills, with experience in Git, FastAPI/Flask, and ML frameworks (PyTorch, TensorFlow). Hands-on experience with agent frameworks (AutoGen, LangGraph, CrewAI) and orchestration strategies. Proficiency in vector databases (Pinecone, Milvus, ChromaDB, FAISS) and embedding techniques. Solid understanding of prompt engineering, RAG, and LLM optimization. Familiarity with cloud/on-prem deployment and containerization (Docker, Kubernetes). Experience implementing Model Context Protocols for context management and interoperability. Experience with multi-agent systems, planning algorithms, or reinforcement learning with LLMs. Knowledge of production-grade AI ...
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