126 to 150 of 199 Remote/Hybrid Model Context Protocol Jobs

tool-calling, structured outputs, planning/state management, retries, guardrails, and orchestration layers on top of LLM provider APIs (Anthropic, OpenAI, open-weight models, MCP). Ship internal AI automations to remove engineering/support/growth toil by integrating with existing tooling (GitHub, Slack, Intercom, Jira) or building bespoke … practices (golden datasets, eval harnesses, tracing, graceful failure modes, cost/latency controls). Deep LLM-API fluency (Anthropic/OpenAI/open-weight), MCP, agent frameworks, and familiarity with AI coding tools (Claude Code, Cursor). Cloud and delivery experience: AWS and/or DigitalOcean, Docker, CI/ ...

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 agentic frameworks — and can describe projects where you shipped real customer-facing work with these tools. You know how to drive … integration Experience with test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab) Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure ...

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 agentic frameworks - and can describe projects where you shipped real customer-facing work with these tools. You know how to drive … integration Experience with test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab) Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure ...

capability, including designing, developing and productionising AI-enabled solutions using retrieval-augmented generation, embeddings, vector search, context/prompt engineering, agentic AI patterns, MCP-based extensibility, and Microsoft ecosystem AI tooling. The role ensures these solutions are grounded in reliable, well-governed and secure data foundations. What … solutions for resilience, observability, cost-efficiency and maintainability across production environments. Design and implement custom AI-enabled systems and components, including retrieval-augmented generation, MCP-based extensibility, agentic AI architectures, embeddings, vector-based retrieval and context/prompt engineering. Build and productionise AI solutions using the Microsoft ecosystem, including ...

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 ...

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 ...

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 ...

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 ...

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 ...

code and you steered it to production, or you've 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 a clear, repeatable workflow: how you prompt, how you scope tasks, how you drive … role? Design, develop, and deploy scalable web applications and services, contributing to web technology and framework stack decisions, use case design, and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high-quality software within tight timelines Partner with security and compliance teams ...

explore how platforms such as PowerApps and CoPilot can be leveraged within our existing technology stack. We currently operate a hybrid working model, enabling us to benefit from both home and office working. The TeamOsborne Clarke's Solutions team plays a crucial role in helping clients explore exactly … Risk & Compliance teams. Beyond AI, the role will focus on exploring data integration opportunities using platforms such as Boomi, investigating the potential of Model Context Protocols (MCPs) and orchestration layers, and developing a broader awareness of how tools such as PowerApps and CoPilot can be leveraged into ...

trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform environments and network … Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. Red Hat Ansible certification. Google Cloud, AWS, or Azure ...

trigger network actions.* Support deployment and operation of AI platforms such as Vertex AI or similar.* Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends.* Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices.* Implement infrastructure-as-code for platform environments and network … Open APIs.* NETCONF/RESTCONF, gRPC, vendor APIs.* API management and orchestration.* Intent-to-configuration workflows.* Data pipelines.* Vector databases and graph APIs.* MCP integration.* Security frameworks and compliance controls.* Observability and logging.**Preferred Certifications*** Kubernetes CKA/CKAD.* Terraform Associate.* Red Hat Ansible certification.* Google Cloud, AWS, or Azure ...

customer-facing, technically demanding, and genuinely novel — there is no playbook yet, and we're writing it in real time. We call our delivery model co-work. We don't build things for our customers. We build alongside them, teaching them to think, design, and ship with Claude … Scope engagements: assumptions, risks, milestones, and dependencies Embed with customer teams to co-build agentic applications on the Claude Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack What Success Looks Like Customers move from proof-of-value to production Engineering ...

make Entropia the room they reach for on the next mandate. This role is based in London. We mainly use an in-person work model, with a flexible work-from-home policy. Strategic Implementation: Take the lead in integrating Entropia's solutions into client workflows, ensuring smooth adoption ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … interested in applying AI to enhance real-world products and platforms. What's in it for me? Salary £70,000 - £100,000 Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

functionality directly into software products Working with technologies such as OpenAI, Azure OpenAI, Claude, Gemini or local models Exploring RAG, AI agents, Semantic Kernel, MCP, vector search and intelligent workflows Engineering around the realities of production AI: accuracy, security, validation, guardrails, latency and cost Working across the stack, including modern … code. That experience could be commercial, independent or through substantial personal projects what matters is that you can explain what you built, how the model was integrated and the engineering decisions surrounding it. Why consider it? This is an opportunity to join a substantial software organisation at a point ...

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 … create and implement new user experiences Adapt proof-of-concept solutions into production-ready, scalable implementations Leverage AI, machine learning, and large language model technologies to develop innovative platform features Investigate, diagnose, and resolve technical issues to maintain commercially viable solutions Contribute to API design decisions, understanding considerations ...

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 … create and implement new user experiences Adapt proof-of-concept solutions into production-ready, scalable implementations Leverage AI, machine learning, and large language model technologies to develop innovative platform features Investigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations and trade ...

effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features from design through rollout, monitoring … asynchronous workflows, idempotency, consistency trade-offs, and designing for failure; Hands-on experience with LLM APIs or strong interest in learning about rate limits, context windows, multi-vendor routing, latency variance, and cost control; Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage ...

testing, quality gates, and security and dependency hygiene. That now covers how we work with coding agents: the rules they follow, the skills and MCP integrations we build over our own systems, and the review process that holds quality as more code gets generated. You're the one who challenges … coding agents day to day and have a view on where they help and where they quietly cause damage. Experience writing skills, MCP integrations or agent conventions for a team is a strong plus. Security is instinctive for you. Secure-by-design services, authentication and authorisation done properly, tenant ...