autonomous workflows, retrieval-augmented generation (RAG) pipelines, and enterprise-grade AI governance frameworks using cutting... advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization...
AI components that support intelligent workflow automation and task execution.Build and extend RAG‐based solutions for context... concepts in agentic AI, RAG, and AI platform tooling.Experiment with new tools and techniques under guidance to expand...
for creating robust multi-agent systems and RAG pipelines, offering an innovative work environment with top-tier clients....
.AI/agent development experience — hands-on building with agent frameworks, RAG pipelines, or agentic orchestration...
that involve RAG, AI agents, virtual assistants, and process automation Record guidelines, best practices, and standards for prompt..., and Retrieval-Augmented Generation (RAG) Basic to intermediate Python skills for scripting, automation, and integration work...
, LangGraph, Open Claw), and integration with our Platform services (MCP, LLM Service, RAG). You're building the shared... orchestration frameworks (LangGraph, n8n, Crew AI, or similar)Experience with RAG architectures (vector databases, document chunking...
AI Search, Pinecone, Qdrant, or PGVector)Understanding of RAG (Retrieval-Augmented Generation) patternsFamiliarity...
. Responsibilities Configure AI agents, RAG, domain topics, business rules, and automation workflows. Build integrations using REST APIs...
, and implementing RAG search using libraries such as LangChain, LlamaIndex, or Semantic Kernel. Experience with mission-critical... Career’s Page: Keywords: Solution Architecture, Azure, Generative AI, RAG, Microservices, DevSecOps Expert...
and investments, including status reports, RAG status, budget updates, milestone reporting. Ensure infor Reference JR155152...