5 of 5 Model Context Protocol Jobs in the North West

bridging the gap between engineering and the broader organisation. Tech Leads are expected to actively drive AI-native culture within their team and model best practice for everyone they manage. The step from Technical Project Lead to Tech Lead is the most significant transition in the engineering career path. … implementation level, including design, risks, and appropriate usage Understand and work with skills as reusable AI capabilities Have a strong working knowledge of MCP (Model Context Protocol), including tool access, context management, and security implications Set expectations for AI tool use within the team, defining what ...

RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.* Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.We’re a fantastic team ...

RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ...

practices DevOps (CI/CD, Pipelines, Infrastructure-as-Code) Experience managing a team of developers Exposure to Agentic AI patterns (tool use, orchestration frameworks, MCP, or similar) Familiarity with modern UI frameworks and tooling (React, React Native, npm) Experience working with Azure DevOps build and release pipelines Core Values ...

company's risk framework. Integrations require technical depth and will form a significant part of the role. Develop a deep working understanding of how MCP servers, API connections, and OAuth permission scopes function in practice, and what each means for data exposure and system integrity. Work from minimal information provided … guidelines and training. Required Experience and Skills Technical Background: A solid technical foundation with a genuine understanding of AI technologies, including LLMs, agentic AI, MCP servers, APIs, OAuth permission scopes, and AI integrations. Ability to identify and articulate risks that requesters have not considered and to interrogate vendor security documentation ...