376 to 400 of 573 Model Context Protocol Jobs

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 ...

across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types … integrate with both is required; existing expertise is a bonus rather than a requirement. Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling. Experience in financial services or another regulated environment. Experience deploying models built by a data science team into customer-facing ...

across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types … integrate with both is required; existing expertise is a bonus rather than a requirement. Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling. Experience in financial services or another regulated environment. Experience deploying models built by a data science team into customer-facing ...

small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You'll set technical direction across … gateways, model routing, vendor abstraction, or cost attributionExperience building developer platforms, internal platforms, or self-serve infrastructureExperience building and deploying AI agents or MCP servers in productionExperience with eval systems, LLM observability, tracing, RAG, search, or vector databasesDiversity, Equity and InclusionAt Deliveroo, we know that a great workplace reflects ...

small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You'll set technical direction across … routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that ...

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 ...

automation engineer to design and implement Box and Zendesk AI-driven automations. The role focuses on building integrations with JIRA and HiBob, while enabling MCP-based and Claude Code-powered workflows to reduce manual handoffs and improve data handling. Applicants should be proficient in Python or TypeScript, with experience ...

Work directly with clients, often on-site, to build and deploy Ravical tailored to their environments Use and maintain our internal MCP factory to rapidly develop custom MCPs across a wide range of tools Integrate with both modern and legacy systems to help Ravical become fully tool agnostic ...

Storybook or design‐to‐code workflows. Experience embedding accessibility standards into design systems. Practical experience using AI tools such as Claude, ChatGPT or Figma MCP to improve design workflows. Experience working within high‐growth consumer technology, fintech or other digital product businesses. Experience scaling design systems across multiple product teams ...

visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands ...

/authz, tenant isolation, and privileged access Immerse yourself in the agent security domain our customers are focused on: prompt injection, agent supply chain, mcp permissions, and non-human identities Security Engineering & Operations Own security across Geordie's cloud infrastructure and internal environments. Own the company's security roadmap, risk ...

through LLMs and NLP. Deploys LLM and agentic capabilities to improve engineering quality, delivery speed, and operational resilience, covering automated code review, standards enforcement, context‐aware development assistance, copilot‐delivered boilerplates, root‐cause analysis, incident diagnosis, and system audits that surface technical debt, delivering measurable reductions in rework … native vendors at various maturity stages. Familiarity with current AI industry developments, including agentic AI systems, emerging agent‐to‐agent integration standards (e.g., MCP), AI‐assisted software development (e.g., Claude Code, GitHub Copilot), frontier model capabilities, and evolving best practices for embedding AI into enterprise workflows. Experience working with ...

Responsibilities Build production-grade GenAI, LLM, RAG and Agentic AI solutions Develop AI Agents and Multi-Agent Systems Work with LangChain, LangGraph and MCP Build intelligent retrieval using Embeddings, Vector Databases and Semantic Search Apply Prompt & Context Engineering Integrate AI solutions through REST APIs and cloud platforms Test, evaluate … Strong Python and SQL Hands-on experience with LLMs, RAG, AI Agents and Agentic AI Experience with LangChain and/or LangGraph Experience with MCP Knowledge of Embeddings and Vector Databases Experience deploying AI solutions in enterprise environments Cloud experience across Azure, AWS or GCP Understanding of LLM evaluation ...

solutions Guide decisions across low-code, pro-code, integration and AI patterns Design how AI agents use trusted knowledge, approved tools, MCP services, approvals, human hand-offs and safe failure paths Build evaluation, observability, identity, permissions and data boundaries into delivery Lead the design, build, test, deployment and support … using Power Apps, Power Automate, Dataverse, Copilot Studio and pro-code extensions Engineer AI agents and agentic workflows Design and implement integrations with approved MCP servers and develop MCP tools or services Integrate solutions with Microsoft 365, SharePoint, Microsoft Graph, Azure services and enterprise systems Apply grounding, retrieval-augmented generation ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models). Client Engagement & Account Growth: Build … patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A). Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled ...

best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects … powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools. At JET, this is on the menu: Our teams forge connections internally and work with some ...

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 ...

Bedrock, Docker). Notable understanding and experience building generative AI applications (LangChain, AutoGen, CrewAI or similar). Validated production experience with RAG, agent, and MCP-based systems, including AgentOps (CI/CD, monitoring, optimisation). Applied, pragmatic "builder/hacker" mindset with rapid iteration (idea to POC to production). … ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Vice President Expectations To contribute or set strategy, drive requirements and make ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns and advise clients on emerging Agentic Commerce standards (ACP, AP2, A2A, and secure payment models).Client Engagement & Account Growth: Build trusted … serverless patterns and appropriate integration components).Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging Agentic Commerce concepts and standards (ACP, AP2, A2A).Software Engineering & API Design: Strong development background (ideally TypeScript/JavaScript) coupled with ...

want to talk to you!* Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate.* Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels … Agentforce and deep fluency with D360 and core Salesforce platform services.* Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).* Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks.* Cross-Platform Background - Background in cross-platform integrations (e.g., Hyperscaler SDKs to Salesforce ...

want to talk to you! Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels … Agentforce and deep fluency with D360 and core Salesforce platform services. Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross‐Platform Background - Background in cross‐platform integrations (e.g., Hyperscaler SDKs to Salesforce ...