5 of 5 Model Context Protocol Jobs in Reading

vendor. Experience shipping software via marketplaces (Atlassian Marketplace, monday.com Apps, and similar). Hands‐on with agentic development tooling beyond chat (Claude Code, Cursor, MCP‐based workflows, and the like). Experience taking AI features to production at scale: evaluation, cost control, latency, safety. Why us? Backed by 20+ years ...

Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative AI, RAG, AI agents, MCP, or enterprise AI integrations. Experience supporting enterprise applications, scientific/research workloads, IoT systems, or internal platform services. What You’ll Bring 3+ years … device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, or cloud services. Bachelor’s degree in Computer Science , Engineering ...

design, development and deployment of AI-integrated applications using modern full-stack technologies. Build features powered by LLMs, agentic workflows, RAG patterns and MCP integrations. Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure … mentor others. Excellent communication and stakeholder management skills. Comfortable working autonomously and shaping ambiguity into structured delivery. Desirable Azure AI Engineer certification. Understanding of MCP, vector databases and AI evaluation/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers ...

through traditional approaches. Use AI coding agents to investigate, refactor and modernise legacy codebases Design the "engineering harness" that gives AI agents the right context … rules and constraints to work effectively Build repository-level instructions, agent skills, prompts and dynamic context Work with technologies such as Claude Code, MCP and other agentic development tools Establish automated testing and AI evaluation frameworks (evals) to make sure speed doesn't come at the expense of quality ...

actually be doing? Use AI coding agents to investigate, refactor and modernise legacy codebases Design the "engineering harness" that gives AI agents the right context … rules and constraints to work effectively Build repository-level instructions, agent skills, prompts and dynamic context Work with technologies such as Claude Code, MCP and other agentic development tools Establish automated testing and AI evaluation frameworks (evals) to make sure speed doesn't come at the expense of quality ...