4 of 4 Model Context Protocol Jobs in Westminster

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. ...

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 ...

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 ...