10 of 10 Model Context Protocol Jobs in the City of Westminster

native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. About the job Google Cloud’s mission is to make every business successful through AI by combining cutting-edge … development of complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment. Design and code the "connective tissue" between Google’s AI products and customer's live infrastructure, including APIs ...

patterns like ReAct, self-reflection, and hierarchical delegation. Experience in a post-sales or technical consulting delivery function. Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Responsibilities: Serve as the lead developer for AI applications … transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment. Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. ...

patterns like ReAct, self-reflection, and hierarchical delegation. Experience in a post-sales or technical consulting delivery function. Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As an AI Forward Deployed Engineer … business problems. Responsibilities Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol servers) that drive measurable return on investment. Architect and code the "connective tissue" between Google’s AI products and customer ...

Software Engineer (Mid) to lead the development of agentic AI applications, moving rapid prototypes into production-grade workflows, including multi-agent systems and model context protocol servers. You will connect Google’s AI products with customers’ live infrastructure, design scalable APIs, and help raise ...

problems. Responsibilities Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure ...

tracing. Responsibilities: Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google's AI products and customer's live infrastructure ...

every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability ...

governance, administration, security, and enablement features that internal teams require to build and run AI agents and workloads at scale — spanning our LLM Gateway, MCP Gateway, agent runtime, and model governance controls. This role requires strong technical judgment, a deep understanding of enterprise deployment patterns, and the ability … elegant, self-service product experiences for builders across the firm. Key Responsibilities Own the roadmap for core platform capabilities including the LLM and tool (MCP) gateways, web search access, audit logging, access controls, and integration of approved AWS and Azure AI services. Develop and maintain the builder experience ...

complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management … granular tracing. Responsibilities: Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google's AI products and customer's live infrastructure ...

scalable, and extensible. You'll focus on governance, administration, security, and enablement features for AI agents and workloads at scale across the LLM gateway, MCP gateway, agent runtime, and model governance. You will translate complex platform requirements into self-service experiences for builders, partner with Platform Eng/ ...