build and run for our platforms that often have an external threat vector. Tackle vulnerabilities across cloud data..., which often have an external threat vector. Tackle vulnerabilities across cloud data platforms and accelerate the SI's success...
engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases.... Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications. Conduct research...
disciplines Working knowledge of oscilloscopes, spectrum analyzers and vector network analyzers Protocol-level knowledge...
deploying solutions on any major cloud platform (AWS, Azure, GCP). Familiarity with vector databases, embedding models...
(RAG, embeddings, prompt engineering) Skill 2 AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis) Skill 3 Vector... Search & Retrieval Systems (OpenSearch / vector DB) Skill 4 Graph Databases (Amazon Neptune, knowledge graphs) Skill 5 LLM...
using vector databases Integrate AI services with enterprise systems, APIs, and data platforms Develop backend services... AI Experience with RAG pipelines and vector databases (Pinecone, FAISS, Weaviate) Experience building and consuming REST APIs...
. Wire OpenSearch indexing, tenant-scoped routing and vector search for RAG retrieval. Implement CI/CD via the existing..., retrieval, citation Vector databases Cloud platform experience - AWS, specifically: Elastic Beanstalk (Compass deploy target...
Frameworks: LangChain, LlamaIndex, DSPy LLM APIs: Gemini, Bedrock, Vertex AI, Claude Vector DBs: Pinecone, Weaviate (Can...
with vector databases, embeddings, Retrieval-Augmented Generation (RAG), and semantic search architectures. Experience working...
, versioning) Hands-on experience with: o LLM frameworks: LangChain, LlamaIndex, Semantic Kernel o Vector databases: Pinecone...