476 to 500 of 590 Permanent Model Context Protocol Jobs

fundamentals and clean, tested, maintainable Python. You are fluent in the modern LLM and agent toolkit, including model APIs, prompting, tool use, RAG, MCP, agent frameworks and evals. You enjoy working closely with non-engineers and are comfortable sitting with a scientist to understand what they actually need. Experience ...

Proficiency: Leverage agentic development environments such as Kiro (and similar AI-assisted IDEs) to accelerate development workflows, including spec-driven development, agent hooks, MCP server configuration, and AI-assisted code generation. Pre-Production Validation: Guide customers through testing, evaluation, and validation of AI agent performance against defined success criteria before … strategies and evaluating model performance across different foundation models * Building Lambda functions and API integrations that serve as tools for AI agents * Configuring MCP servers to expose customer APIs, databases, and tools in a standardized format for agent consumption * Designing A2A workflows where Amazon Connect agents hand ...

workflows such as discovery, configuration, experimentation, observability, or self-service administration; demonstrated experience partnering closely with UX/design. Familiarity with emerging agentic protocols (MCP, A2A), interoperability patterns, and agentic UI stacks, such as A2UI, AG-UI, MCP-UIExperience shaping design systems or UX frameworks for complex productsStrong understanding ...

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal consultants … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

Roku? At Roku, AI agents do most of the keystroke‐level coding. Engineers act as the technical leads for those agents — setting context, planning work, verifying outputs, and recovering when the agent goes off course. If you are excited about working … this way, we want to talk to you. You have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

specialization in at least one AI platform ecosystem — Google (Gemini Enterprise), Anthropic (Claude), or OpenAI — deep enough to advise credibly on platform strategy. Understand context engineering well enough to shape how clients connect AI to their data, documents, and systems. Lead and develop the US consulting team: recruiting, mentoring … Preferred Experience Vertical expertise in CPG, retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join ...

technical decisions, unblock delivery, and build trust with senior customer stakeholders.The team’s work includes custom code, production-grade agents and AI workflows using MCP, Agent APIs, and Notion’s automation and execution infrastructure, as well as integrations, data pipelines, enterprise migrations, and complex challenges involving scale, permissions, and governance.You … startup or high-growth environment.- Experience deploying AI agents in complex coding or business workflows.- Experience designing or implementing AI-powered workflows involving MCP, APIs, LLM applications, prompt engineering, retrieval or RAG systems, or workflow orchestration.- Experience with ETL or ELT workflows, schema mapping, validation scripts, and large-scale content ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud‐based software to track and model power grids around the world. As a Lead Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools … infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud-based software to track and model power grids around the world. As a Principal Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools … infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations ...

deliver safe, reliable AI solutions. Key Responsibilities Build production applications within customer systems using Claude models. Deliver technical artifacts for production workflows (e.g., MCP servers, sub-agents, agent skills). Provide high‐touch deployment and operational support for enterprise customers. Identify, codify, and communicate repeatable deployment patterns back to Product … time; some roles may require more office time. Visa sponsorship is available in some cases. Claude (Anthropic models) LLMs Python TypeScript Java MCP servers sub-agents agent skills Skills Customer‐facing engineering Cross‐functional collaboration Communication Problem solving Autonomy and high agency Client engagement and relationship building Production software delivery ...

enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. … communication skills, with the ability to influence both technical and executive audiences. Nice-to-have Lakehousearchitectures. Semantic technologies or knowledge graphs. Event streaming platforms. MCP or AI integration frameworks. Financial services orRegTechexperience. Comply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race ...

Midnight-specific code Build and maintain reference implementations, prompts, and examples that improve agent output quality Evaluate new agentic coding tools and protocols (e.g. MCP servers) for relevance to the Midnight developer ecosystem Builder & Agentic Tooling Feedback Loop Monitor how builders and agentic tools are actually using Midnight — successes, failure … tools Recommended Experience & Qualifications Hands-on experience building, integrating, or maintaining AI coding assistants or agentic dev tooling (e.g. Claude Code, Cursor, GitHub Copilot, MCP servers, RAG-based coding assistants) Practical understanding of how AI coding agents consume context — prompting, retrieval, tool use — and what makes them succeed ...

Define and implement security standards including authentication, authorization, data protection, and AI governance. Establish scalable Artifical Intelligence (AI) integration approaches including LLMs, agent orchestration, MCP, RAG, and model-serving pipelines. Guide streaming and event-driven data architectures, optimize performance and cost, and ensure seamless enterprise-to-plant connectivity. Partner ...

latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design … address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto ...

products, developer tools, coding assistants, agents, or LLM-based workflows. Strong understanding of how modern coding agents operate, including tool calling, context management, MCP, and evaluation techniques. A track record of driving technical direction in ambiguous and rapidly evolving areas. Strong product instincts and an ability to balance innovation ...

Working closely with People Leadership and central IT, you will bridge the gap between HR requirements and technical execution—connecting structured data with policy context, embedding crucial governance controls (like human-in-the-loop checkpoints), and monitoring system health to ensure secure, high-performing solutions with clear, jargon-free … experience building with LLMs in production — agent orchestration frameworks, tool and function calling, prompt and context engineering, and evaluation. Comfortable configuring and extending MCP servers, or the confidence to get there quickly. Strong process-design instincts: you can look at a human workflow and see where the joins, exceptions ...

layer — evaluation frameworks, reviewer loops, control-plane behavior, orchestration, and tool integration — that applications and MCPs wrap around. Design opinionated harnesses that expose through MCP or similar integration patterns without overfitting to one vendor or one moment in the tooling market. What good looks likeMust-haveBachelor's degree in computer … regression testing, or experiment frameworks for AI, machine learning, or agentic workflowsNice-to-haveExperience with tool-using systems, retrieval, evaluation pipelines, agent orchestration, or MCP-style integrations. Experience building expert-facing interfaces, workflow products, or technical demos that had to stand up in front of real users. Experience packaging desktop ...

maintain, and prioritize the product backlog across functional and non-functional requirements — covering the Integration Fabric, Knowledge Graph, Search, Permissions, Governance, Observability, APIs, and MCP layers Author clear, well-groomed user stories with defined acceptance criteria; lead sprint planning, estimation, retrospectives, and scrum-of-scrums ceremonies Work closely with engineering … business AI Enablement Ensure the Knowledge Repository provides structured, confidence-scored, and permission-aware knowledge to enterprise AI tools and platforms via APIs and MCP interfaces Collaborate with AI and data science teams to ensure knowledge assets are machine-interpretable — linking structured enterprise data with unstructured business content across ...

platform, developer tooling, or infrastructure domains Experience working with AI, GenAI, agentic systems and emerging AI interaction patterns Familiarity with emerging agentic protocols (MCP, A2A), interoperability patterns, and agentic UI stacks, such as A2UI, AG-UI, MCP-UI Experience shaping design systems or UX frameworks for complex products Strong understanding ...