101 to 125 of 155 Remote/Hybrid Model Context Protocol Jobs

customers to design, develop, deliver and maintain the product capability roadmap. The capabilities include, but not lmited to, Agent Hub, RAG, Documentation Intelligence, Portal, MCP and AI Gateways. This role requires a blend of strong technical background, deep product experience, and the ability to collaborate/drive cross-functionally with ...

sites one to two times per month. German-speaking is a must‐have. Desired Skills Kafka or event‐streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale‐up experience. Who Thrives at Gravitee At Gravitee ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

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 … provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them. Create reusable agent templates, modular components, and paved-path patterns ...

information is presented to a senior audience. Platform-level automation. Experience with low-code/no-code platforms (e.g. n8n, Copilot Studio), MCP, LLM observability tools (e.g. Langfuse), or managed model APIs (Azure AI Foundry, OpenAI, Anthropic).Modern development practices. Familiarity with any of: Docker, Terraform, CI/ ...

them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake) and delivering through modern interfaces such as MCP, rather than building parallel infrastructure. Team Building & People Leadership Proven ability to build, grow, and retain a high‐performing teams, defining roles, skills, and competencies … developing existing talent into a world‐class capability. Experience designing the operating model of a technical team, its ways of working, delivery cadence, quality standards, and tooling, in a product operating model context. A coaching leadership style that raises the technical bar while creating an environment where ...

reshape how software is designed, built, tested and delivered. These roles will work across strategic product transformation, cloud and data platforms, enterprise AI services, context and knowledge engineering, quality, experience design and AI-enabled developer tooling. This is more than an opportunity to join an individual project … machine learning certifications or Bedrock specific training Hands on experience with LLM applications, agent frameworks or orchestration tooling, e.g. Bedrock AgentCore, Strands, LangGraph or MCP Experience building or contributing to an internal developer platform or shared enterprise capability Experience with event driven architecture and messaging platforms (e.g. Kafka ...

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/ ...

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 ...

solutions to test hypotheses, explore trade-offs, and de-risk new ideas. This involves designing and developing products that leverage the latest models. Model Development & Evaluation: Train, scaffold and adapt models in applied settings using rigorous evaluation methodologies. Define and implement metrics that capture real-world performance, including accuracy … cloud computing platforms (AWS, Azure, or GCP). Hands-on experience with a range of AI concepts, such as LLMs, VLMs, RAG, Agents, MCP, computer vision, GraphML, recommendation systems or reinforcement learning. Familiarity with machine learning frameworks (PyTorch, TensorFlow etc). Strong proficiency in software development (Python preferred) and strong ...

agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. ...

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 ...

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 ...

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 ...

generation, code review, debugging, test automation, release readiness, and documentation. Partner with GenAI platform and engineering teams to build reusable agents, skills, tools, plugins, MCP integrations, and governed workflow patterns. Identify high-value embedded and software workflows, turn them into reusable capabilities, and scale adoption across teams to reduce duplication … storytelling skills, with the ability to translate technical depth into clear strategy and measurable impact. Preferred Qualifications Experience building AI agents, multi-agent workflows, MCP services, tool-calling systems, evaluation harnesses, prompt/skill libraries, or governed AI automation platforms. Experience with AI-enabled developer productivity use cases such ...

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 ...

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 ...