101 to 125 of 276 Model Context Protocol Jobs

willingness to work with or learn GoHands-on experience building and operating production AI applications using large language models and agentic frameworksUnderstanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt designExperience creating reliable AI agents through evaluation, guardrails and token and cost optimisationProficiency with Docker, Kubernetes ...

platforms such as OpenAI/Azure OpenAI, Anthropic Claude, and other cloud AI services to prototype and deliver solutions. Develop advanced prompts, custom and MCP-enabled GPTs, Gems and Copilot agents, and lightweight agentic automations – co-created with senior leaders and domain experts from our clients using appropriate tooling. Integrate ...

platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini ...

enterprise data groundingArchitect reusable AI design patterns including human-in-the-loop workflows and multi-agent coordination modelsApply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC)Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectationsEnsure delivery adheres to AI governance, data privacy, and regulatory frameworksSupport … engineering, and model evaluation approachesHands-on experience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI-based integrationStrong Python development skills and knowledge of CI/CD, DevOps, and cloud-native architecturesPractical experience with Azure (Azure OpenAI, Azure ...

build reusable code repositories to ensure quality engineering solutions. Lead future technology: Identify, evaluate and prototype emerging AI and data technologies, such as MCP servers, vector databases, knowledge graphs, small and open models, and multimodal and document AI, and bring proven ones into RES's data and AI portfolio. Architect … architecture and the agents you build will drive business outcomes across the globe in renewable energy. A modern, cloud-first stack: Azure, Fabric, Purview, MCP servers, and significant innovation investment. A collaborative, growing data and analytics function: Scope to shape how analytics and AI evolves for data and platforms. Join ...

enterprise integrations. Strong debugging, testing and problem-solving skills. Comfortable working directly with customers and balancing rapid prototyping with production-quality engineering. Experience with MCP, agent orchestration frameworks, LLM evaluation and production AI deployments would be advantageous. ...

/CD pipelinesYou have strong communication and collaboration skills, comfortable contributing to technical discussions, working closely with product teams and mentoring othersFamiliarity with MCP and modern AI tooling would be beneficialWhat's in it for you: Salary to 80kPersonalised training budgetPensionHealthcare including dental and opticalVarious wellness experiences, gym subsidy, cycle ...

/CD pipelinesYou have strong communication and collaboration skills, comfortable contributing to technical discussions, working closely with product teams and mentoring othersFamiliarity with MCP and modern AI tooling would be beneficialWhat's in it for you: Salary to 80kPersonalised training budgetPensionHealthcare including dental and opticalVarious wellness experiences, gym subsidy, cycle ...

pipelines You have strong communication and collaboration skills, comfortable contributing to technical discussions, working closely with product teams and mentoring others Familiarity with MCP and modern AI tooling would be beneficial What's in it for you: Salary to £80k Personalised training budget Pension Healthcare including dental and optical Various ...

cloud-hosted applications, with App Insights for monitoring. Active use of AI coding assistants and experience integrating LLM APIs and building agentic workflows or MCP servers. Strong working knowledge of security principles including OWASP Top 10, GDPR, and ISO27001. Experience in a small team or full-stack ownership environment, comfortable ...

security architectures Strong understanding of distributed systems,service-to-service communication, API Gateways, Kubernetes, cloud-native architecturesHands-on experience working with emerging agentic protocols (MCP, A2A) and interoperability patternsProven ability to work cross-functionally with engineering, security, product, and platform organizationsExcellent communication and storytelling skills, with the ability to articulate ...

Architecture, Platform Engineering or DevOps Strong understanding of production AI solutions, not just AI concepts and demos Experience with AI Agents, RAG, LLMs, APIs, MCP, automation platforms and modern AI tooling The ability to explain technical concepts to both technical and non technical audiences Experience delivering workshops where attendees build ...

public profile — thought leadership, speaking, writing, or advisory work — in applied AI or AI transformation. Hands-on experience with the Claude API, Claude Code, MCP, or GitHub's AI tooling. Domain depth in a regulated or enterprise vertical: public sector, financial services, or healthcare and life sciences. Experience shaping large ...

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 ...

architects, AI/ML leads, and C-level executives to define Workiva's role in their AI infrastructure, focusing on data governance, integration, and model orchestration. By positioning Workiva as the system of trust for machine-generated financial, sustainability, and risk data, you will ensure outputs are controlled, reviewed … equivalent combination of education and experience in a related fieldPreferred QualificationsAI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality. Governance ...

integration experience AI tools - Claude Code or GitHub Copilot Hands-on experience using OpenAI or Anthropic Highly desirable: Python AI tooling and evaluation scripts MCP server build experience Cyber Resilience Act and AI Act insight Undertake code reviews Knowledge sharing of AI best practice ...

earn it. Our stack Java/Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). AI stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won't know ...

/CD, and Infrastructure as Code. Experience with MLOps, LLMOps, observability, monitoring, and production support. Hands-on experience with agentic AI, multi-agent systems, MCP, A2A, or similar orchestration frameworks. Experience working within enterprise environments where integration with existing systems is critical. This is an excellent opportunity for a Staff ...

Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).Architect and code the "connective tissue" between Google's AI products and customers' live infrastructure, including APIs, legacy data silos ...

productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)Agentic frameworksCore agent capabilities like MCP/cross-platform tool use, web browsing, computer useEnforce technical discipline and operational excellence for all of our AI productsRapidly iterate on AI products based ...

productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.)Agentic frameworksCore agent capabilities like MCP/cross-platform tool use, web browsing, computer useEnforce technical discipline and operational excellence for all of our AI productsRapidly iterate on AI products based ...

platforms for scientific analysis: omics data, data modeling, patient metadata, lineage, access controls, and reproducible workflows. Experience with omics analysis pipelines (i.e. genomics, transcriptomics), MCP, LLM patterns, biological foundational models, agent orchestration, and deep learning frameworks (i.e. Pytorch) is preferred. Familiarity with current agentic frameworks such Claude Science, Biomni, Gemini ...

energised by removing manual steps entirely. Experience evaluating or building with LLM-based developer tools in a real engineering environment. Preferred Experience with MCP, agentic tooling, or Spec Driven Development. Familiarity with the Atlassian ecosystem (Jira, Confluence) and its APIs. Prior experience in financial services, trading platforms, or another regulated ...

selling and business-value communication skills. PreferredExperience with Kubernetes/container networking. Experience with AIOps, AI-driven network operations, or agentic automation. Familiarity with MCP and AI/LLM-based infrastructure management. Enterprise pre-sales, sales engineering, or solutions architecture experience. IT Operations Management (ITOM) Experience is preferred. Relevant networking ...

regulated industries (life sciences, healthcare, financial services, legal). Agentic AI patterns — multi-step autonomous workflows with human-in-the-loop oversight, tool calling, MCP servers, and structured outputs. Enterprise AI governance and responsible AI practices, including model evaluation, bias testing, explainability, and compliance with frameworks such ...