, model‐connected workflows, and LLM-enabled solutions. Lead or support chatbot, RAG, conversational AI, agentic... Experience with AI‐enabled applications, LLM‐based solutions, chatbots, RAG solutions, agents, automations, or model‐connected...
Experience with developing RAG pipelines and implementing vector databases Hands‐on experience with at least one no‐code...
.You will design multi-agent systems, build RESTful APIs with FastAPI, integrate RAG workflows and vector databases, and implement...
Data Mesh. Experience with marketplace architecture supporting AI/ML workloads. Hands‐on experience with LLM/RAG...
‐deterministic workflows.Data/RAG Pipeline Design & ManagementDesign and automate data flow processes to support AI retrieval (RAG..., and cost.Own the Retrieval‐Augmented Generation (RAG) lifecycle end‐to‐end: ingestion, chunking strategy, embeddings, vector...
. Practical understanding of RAG architectures, agent workflows, embeddings, vector databases, and data orchestration. Experience...
, Large Language Models (LLMs), AI Agents, RAG solutions, or AI-powered applications. - Experience managing testing...
, 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 service‐based solutions.Experience with AI‐enabled applications, LLM‐based solutions, chatbots, RAG solutions, agents... AI, GenAI, chatbot, RAG, or AI assistant initiatives.Experience with MCP development or agentic AI solution patterns.Experience...
production-grade autonomous AI agents (not just prototypes) Design and implement RAG architectures backed by vector databases... building RAG systems on vector databases Strong Python skills plus fluency with AI/ML libraries (OpenAI, Hugging Face, Azure...