: Retrieval‑Augmented Generation (RAG) design and secure knowledge integration Vector embedding strategies for semantic search... experience with RAG frameworks, vector databases, and AI data platforms Familiarity with cloud security architectures across AWS...
building AI copilots or autonomous business agents Familiarity with vector databases and semantic search Knowledge...
and RAG system design: vector databases, retrieval strategies, document chunking, metadata filtering, re-ranking, context...
. Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver..., vector stores, and context retrieval patterns. Familiarity with multi-agent orchestration frameworks, prompt engineering...
. Standard molecular and cellular neurobiology techniques such as vector design and cloning, cell/neuron culture...
(Git) Preferred Qualifications Experience with vector databases such as PGVector, Pinecone, FAISS, or ChromaDB...
applications and third-party APIs. Build vector databases and semantic search capabilities. Design secure, cloud-native... (OpenAI, Claude, Gemini, Llama) LangChain or LlamaIndex Retrieval-Augmented Generation (RAG) Vector Databases (Pinecone...
and containerized deployments - Proficiency with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases...
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fluency. Confident daily use of AI coding and analysis tools;working understanding of LLM evaluation, RAG, embeddings, vector...