3 of 3 Model Context Protocol Jobs in Yorkshire

powered products that deliver measurable outcomes. Develop production-ready AI agents on GCP, including secure API integrations. Integrate agent capabilities into applications using MCP servers and supporting tools. Develop reliable RAG pipelines, including ingestion, chunking, metadata and vector search. Required: Strong Python skills for backend, APIs, testing and async patterns. ...

experienced architect/engineer who understands how to construct and integrate hybrid agenticworkflows and toolchains including local agents, SLM/Vector DB's, MCP/RAG/fine-tuning models. 1.Solid engineering experience with CoPilot/Agentic tools (Github CoPilot preferred), across moden cloud native engineering (GCP preferred), with solid ...

robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards. • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations. • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP. • Embed security, compliance … testing. • Hands‐on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design. • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK. • Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies ...