351 to 375 of 569 Model Context Protocol Jobs

Engineering, Computer Science or equivalent; advanced degree preferred.* **Agentic AI/LLMs:** LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale.* **Enterprise integration:** Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance ...

Solutions Architect to design end-to-end AI/LLM solutions for enterprise customers, leveraging Tencent Cloud TokenHub, foundation models, AI Agents, and MCP ecosystem. You will lead technical discovery workshops, architecture design sessions, POCs, validation, and production deployment planning, collaborating with customer engineering teams to deliver scalable, reliable ...

Solution Architect to accelerate enterprise AI adoption in Europe. You will design end-to-end AI and LLM solutions leveraging TokenHub and MCP ecosystem, working with enterprise customers and cross-functional teams. Required are 2+ years in Gen AI/LLMs, strong cloud and MLOps experience, and excellent English. Mandarin ...

Demonstrable AI engineering depth. You can show real systems where you made substantive decisions about agent harnesses, evals, hallucination containment, performance, agent sandboxing or MCP/tool design. Strong product engineering and technical judgment. You ship across interface, backend, data and deployment, reason from first principles and choose tools deliberately. ...

Claude (Anthropic) or Copilot Highly desirable (not essential): Python for AI tooling and evaluation scripts Semantic Kernel or LangChain frameworks Linux/Docker MCP experience If you feel this role meets some of the above skillset and open to learning more about AI tools whilst in post, my client offers ...

Will Be Doing Building real product features across Rebel end-to-end, with support and guidance from senior engineers Working with LLMs, agents, and MCP integrations from day one Learning by shipping: we believe the fastest way to grow is to have real ownership Contributing to our open-source ecosystem ...

including the component library, design tokens and documentation Extend the design system for AI-assisted development using Storybook and machine-readable interfaces such as MCP Design component APIs that resist misuse by AI and human developers Write high-quality, performant frontend code with React and TypeScript Partner with design, product ...

augment your end-to-end design and development process. Expertise with modern AI technologies and ability to apply them to design problems (e.g., MCP, Claude Code, Codex, Skills).Experience shipping production-ready experiences and influencing technical and design choices across teams. Strong understanding of user-centered design principles ...

match you to the right one: Fluency with AI-assisted development, and interest in scaling agent-assisted workflows across the team (agentic CLI tools, MCP, skills, APIs) to amplify delivery. Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel TDX, or Confidential Containers (CoCo). Experience building SaaS or PaaS ...

About the team The Roku Entertainment Assistant team builds conversational AI experiences used across millions of Roku devices. The team works across fulfilment ranking, model delivery, offline and online evaluation, low-latency services, observability and product quality. Its published work includes shared model-serving and MLOps paths, automated … their impact. We value your AI skills if 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 ...

applications inside client systems, ensuring solutions meet enterprise requirements for performance, security, and reliability. Develop technical assets - Create reusable, production‐ready artefacts including MCP servers, sub‐agents, agent orchestration frameworks, and evaluation tooling that can be deployed across client workflows. Support enterprise deployments - Play a key technical role in rollouts … Identify patterns and scale - Recognise repeatable deployment patterns across engagements and contribute those insights back to Accenture's I&E FDE practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting‐edge expertise - Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies ...

systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across the lifecycle … government or academia. Experience in regulated industries such as insurance, financial services, public sector or national‐scale infrastructure contexts. Familiarity with agentic systems design, MCP/A2A protocols, or inference‐time privacy controls. Familiarity innovating with agentic‐driven workflows and toolsets for both research and prototyping tasks, such as Claude ...

Senior AI Engineer (BioTech/Pharma) | Outside IR35 Contract £600 - 700pd | Hybrid, Oxford | 6 Months Harvey Nash are working with an exciting consultancy who are looking to bring on a highly experienced AI Engineer to ...

reusable AI services. Establish scalable, secure, and compliant architecture patterns for Agentic solutions using industry standard frameworks. Provide hands-on technical leadership across MCP, Python, TypeScript, React, APIs, OpenShift, Kubernetes, and CI/CD engineering practices. Build AI solutions including Agents, chatbots, RAG & Knowledge platforms, Skill based agents, workflow automation … enabled developer experiences Define engineering standards for prompt engineering, skill engineering, model evaluation, observability, guardrails, red teaming, hallucination detection, and responsible AI adoption. Partner with engineering leads, product owners, cybersecurity, governance, risk, platform, and UI/UX teams to align technical direction with strategic business outcomes. Mentor senior engineers ...

Associate Machine Learning Quality Engineer to join the Corporate Engineering AI team. You will help define evaluation frameworks and build automated test pipelines for MCP tools and Skills. You will collaborate with ML engineers to integrate evaluation hooks, address agentic risks, and provide testing evidence for PTB and PTO, ensuring ...

help deliver real-world AI solutions for clients. You will own AI-driven projects from prototype to MVP, working on RAG, AI agents, and MCP within client environments and the company's internal AI platform. Join a growing AI-native engineering capability with hybrid working options, high autonomy, and opportunities ...

growth team at the forefront of AI transformation. You’ll build real product features across Rebel end-to-end, work with LLMs, agents, and MCP integrations, and grow through hands-on ownership from day one. We welcome diverse backgrounds and value curiosity, self-direction, and practical AI experience, with ...

cannot. You'll be early enough to shape how we sell. This role is based in London. We mainly use an in-person work model, with a flexible work-from-home policy. Take ownership of a named account list , guiding clients through the full sales cycle—from prospecting ...

turn successful approaches into reusable tools and accelerators. What you'll be working on: Building AI solutions using RAG, AI agents, LLM integrations and MCP Taking solutions from prototype through to production, including security, scalability, guardrails and observability Building AI evaluation and testing frameworks to measure accuracy and reliability Working … data engineering Proven experience building and shipping production LLM/AI applications Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP Experience with AI evaluation, testing, datasets and guardrails Client-facing experience and an understanding of enterprise security, compliance and legacy environments High autonomy, strong communication ...

Next.js Experience managing at least one cloud platform, such as Azure, AWS or GCP Experience working with AI development frameworks such as LangChain, foundation model platforms, vector databases, structured outputs, tracing and evaluation techniques Experience applying modern engineering practices, including testing, CI/CD, DevOps, observability, secure development, code … behaviour of AI‐enabled systems Strong communication skills to articulate complex technical solutions Ideally, you’ll also have Experience building complex systems, including writing MCP servers Experience with spec‐driven development and configuring coding‐agents Experience designing human‐in‐the‐loop workflows, including review, escalation and feedback mechanisms ...

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 Competencies3+ … managerHands-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 ...

responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. 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 ...

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 ...

full engagement lifecycle from technical discovery through production deployment through solutions org handoff. You architect multi-agent solutions, design client-personalized MCP resource packs, and build the Deployment Kits that transform how 200+ solutions consultants and partners operate. You mentor junior FDEs, drive the intelligence loop, and present field findings … Architect multi-agent solutions selecting the right coordination pattern for each customer's workflow characteristics and compliance requirements. Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically. Own Deployment Kit quality ...

cloud infrastructure experience. Experience with Terraform, containers, CI/CD and observability. Knowledge of caching strategies, latency management and inference cost optimisation. Familiarity with MCP or comparable service-registry and tool-discovery patterns. Strong testing, documentation and production engineering standards. Confidence working with platform engineers, architects and senior engineering stakeholders. … software engineering and cloud infrastructure. The opportunity to influence how AI capabilities are governed, scaled and adopted within a regulated environment. A collaborative delivery model working closely with experienced engineers and senior stakeholders. The hiring process will include an initial conversation covering rate, availability and notice period, followed ...