151 to 175 of 199 Remote/Hybrid Model Context Protocol Jobs

development to improve speed and quality, and build the reusable pieces that let others do the same: Skills, slash commands, subagents, hooks, MCP integrations and per‐codebase agent guidance, tailored to each team’s stack and conventions. Apply the same tooling to the codebases you work in: raising test coverage … Experience extending those tools rather than just using them out of the box: authoring reusable agent extensions (Claude Code Skills, slash commands, subagents, hooks, MCP servers) and the project‐level guidance files (CLAUDE.md and equivalents) that make an agent effective in a specific codebase. Experience integrating LLMs or other models ...

data. Agentic AI & LLM Guardrails: Design and deploy scalable guardrails, robust sandboxing, and real-time monitoring controls for our extensive LLM ecosystem, including ADK, MCP, and autonomous agentic workflows. Collaborative Security Engineering: Partner with ML researchers and platform engineers to design and implement robust security controls across the entire … model inversion, data poisoning) and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS.Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure and implementing robust agent-to-agent (A2A) identity and access controls. Infrastructure Security: Solid proficiency in cloud platform security (GCP preferred), including ...

with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers — you are the kind of person who'll sit with a scientist to understand … sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise ...

with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast-moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non-engineers — you are the kind of person who'll sit with a scientist to understand … sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise ...

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. Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval). Department … 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 Senior 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 ...

scale their impact. We value your AI skills if 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 … analysis, auto-triage of build/test failures).Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.Dev Productivity & Enterprise Tooling (Global Scale)Set technical direction and standards for the globally used developer ...

innovation, and deliver better results across the company. You already have 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 these tools made you measurably faster. You know how to drive an agent … degree in Computer Science, Computer Engineering, or equivalent practical experience Demonstrated fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agentic frameworks — and can describe projects where these tools made you measurably faster Ability to drive an agent, validate its output ...

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 ...

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 ...

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 ...

simply demo an existing product. You’ll be expected to build and tailor the solution for the customer — using Patsnap’s data, APIs, MCP capabilities and AI tools to create agents, workflows, prototypes and proof‐of‐concepts that bring their use case to life. The brief is simple: Understand … translating pain points into practical AI solutions. Build and demonstrate AI agents, workflows, prototypes, integrations and tailored proof‐of‐concepts using Patsnap’s APIs, MCP capabilities and customer context. Run proof‐of‐concept projects end to end, from scoping and build through testing, feedback and iteration. Configure and deploy ...

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 ...

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 ...

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 ...