551 to 575 of 593 Permanent Model Context Protocol Jobs

process) Monitors agent performance across the estate Reports and flags on performance issues Tunes routing and logic Optimise agent costs by testing and validating model performance using optimised lower cost models and progressing these into production Define new AI agent capabilities and interfaces to replace legacy processes Maintain … high-volume outputs Experience producing clear written communication for exception reports Demonstrable experience in AI agent development and optimisation Deep experience with API and MCP integration and agentic platform system architecture Understanding of Microsoft dotnet development platform and Azure+ services Your Skills, Knowledge and Behaviours Strong attention to detail across ...

rapidly adapt to new stacks. Hands-on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing skills, configuring MCP servers, and using AI tooling as part of daily development workflow. Understanding of AI-native development practices: prompt-first workflows, AI pair programming, agent-assisted … templates, pipeline components, and automation scripts that are made centrally available to engineering teams. Implement Claude Code (or equivalent agentic CLI tooling) skills and MCP servers based on designs from senior team members — testing, documenting, and iterating based on squad feedback. Support the golden path tooling: maintaining project templates, updating ...

evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience … expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. ...

client experience through faster reporting and richer performance insights without increasing operational overhead. They will also design an automation architecture based on an MCP-first approach that allows tools to be replaced easily, new agents to be introduced rapidly, and the platform to evolve with changing technology. The CPO will … infrastructure into the network's primary activation capability. They will develop a unified activation layer that provides a consistent data model and buying interface across paid social and programmatic environments while managing strategic technical partnerships, API integrations, certifications, and evolving industry standards. Navigator's first-party data represents ...

person their engineers trust and come to directly, not through anyone else Build with the current AI stack day to day, RAG, agent frameworks, MCP or similar, evals Bring what you're seeing on the ground back to the team, it'll actually change what gets built next at this …/or TypeScript, from things you've actually built Hands-on experience with RAG, an agent framework like LangChain or LangGraph, and ideally MCP, from building with these, not just plugging in a vendor's version You use AI coding tools day to day already, Claude Code, Cursor, or similar ...

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. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape … 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 concepts and standards. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict ...

create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an "AI for AI's sake" role: the goal is practical engineering impact, better component reuse … they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication. ...

bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they get the right context at the right time. Shape what we build: work with product and other stakeholders to scope problems … have, not essential : Experience working on customer-facing data integrations such as HRIS or payroll feeds via SFTP and in EDI format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. ...

teams, and implement robust evaluation and memory strategies to ensure safe, scalable AI delivery. The role emphasizes context pipelines, memory architectures, and enterprise MCP integration, with a focus on responsible AI and regulatory compliance within a high-trust financial services setting. #J-18808-Ljbffr ...

agents. Someone who has already rebuilt how they personally work around them — who runs their own harness, writes their own tools, has opinions about context management and eval design, and gets visibly restless watching a human do something an agent should be doing. You should be energised … failed, what you measured, and how you fixed them. You are fluent in the stack as it is, and tracking where it's going. MCP, tool and context design, retrieval, orchestration, eval harnesses, observability. Equally: you know what's changing, you have views on what the next capability jump ...

engineering (security, compliance, scalability) and support customers and partners through implementation. Establish success metrics for integrations and iterate based on real usage. API/MCP Own the product direction for Xapien's configuration API and MCP capabilities — how customers and AI agents programmatically configure, run, and consume Xapien research. Drive ...

unauthorised exfiltration of sensitive information across network, cloud, endpoint, and AI-integrated environments. Extend data classification and DLP coverage to AI ensuring training datasets, model inputs and outputs, and inference logs containing sensitive data are subject to the same controls as the broader data estate. Lead the engineering … security risks — including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such as MCP-integrated platforms. Collaborative by default, with a track record of partnering with IT, software engineering, and privacy teams to deliver data security outcomes that enable ...

types, validation rules – and can be trusted to operate on it correctly. You'd be doing full-stack product work in TypeScript and React: MCP tools and integrations, agent orchestration, system prompts, evals to make the whole thing more reliable. Engineers on this team own their domain and work closely … product on what gets built next. Responsibilities Deliver full‐stack product work: design and build React interfaces in Dashboards, APIs, and backend services. Develop MCP tools and integrations that extend what the agent can do. Implement agent loops – the orchestration logic that decides what the agent does, in what order ...

develop their judgement on using AI tooling Set standards for how technical problems are solved Be accountable for shipped deliverables Build and maintain integrations, MCP builds, API connections, and infrastructure supporting the GenAI platform Build systems, tools, and solutions in an AI-native way Represent engineering with senior stakeholders … Solving Soft Skills Mentoring Stakeholder Communication Problem-Solving Collaboration Industry Keywords Technical Direction Integration Delivery Quality Matrix Structure Tools & Technologies GenAI Tools API Connections MCP Builds AI-Enabled Tools #J-18808-Ljbffr ...

journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick … agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs ...

frameworks (e.g., Kubernetes)Strong debugging skills and the ability to navigate performance/security tradeoffs in production systemsComfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product developmentNice to haves: Experience … founder or early engineer at an infrastructure-focused startup, owning a product end-to-endFamiliarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP)Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks)Exposure to snapshotting and restore techniques (e.g., CRIU ...

e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: Experience as a founder … early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots ...

delivery of Quality Engineering strategies. Manage project-level client relationships and communicate progress, risks and recommendations. Drive adoption of GenAI tooling, including Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. Experience you'll need as a Quality Engineering Manager Several years experience …/TypeScript, Python, Java or C#. Experience building and assessing automation frameworks, not just using them. Hands-on experience with GenAI in a QE context and AI-assisted coding tools. Experience defining tooling strategies and conducting QE assessments. Experience leading or mentoring QE or automation engineering teams. Strong client ...

setup, configuration, and maintenance of AI tooling across the business (e.g., Claude Code, Cowork, Codex-style coding/agent tools), including integrations, MCP server configuration, and connector management. Manage user access, permissions, and governance for AI tools, ensuring least‐privilege access and secure connector/integration setup. Partner with teams … conducting vendor security assessments. Experience setting up and administering AI coding/agent tools (e.g., Claude Code, GitHub Copilot, Codex) and their integrations, including MCP servers, connector permissions, and access management. Desirable Skills ITIL and project management certifications (e.g., Prince2). Advanced knowledge of infrastructure best practices and proactive problem ...

jobs Vercel does for many customers through the Solutions Architecture function. On your accounts, you do them deeper, more often, and with sustained context that a generalist SA can't match. The best TAMs save customers more than the cost of the engagement through this work alone. Scope … tools company (AWS, Cloudflare, MongoDB, Snowflake, Datadog, GitHub, etc.). Have hands‐on experience with AI agent development, particularly using the Vercel AI SDK, MCP servers, or similar frameworks. Have led FinOps or cloud cost‐optimization engagements at scale. Have run an annual technical roadmap workshop or “Well‐Architected Review ...

DOING:Defines the vision, strategy and roadmap for LSEG's AI Core Platform. Owns product direction for enterprise AI platform capabilities including AI Gateway, MCP SDK, IAM, orchestration, scale and shared platform services. Partners with Engineering to deliver secure, scalable and highly available platform capabilities. Establishes platform standards, APIs … BRING:Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or equivalent experience. Strong understanding of AI platforms, LLM ecosystems, MCP Servers, API gateways, orchestration frameworks and enterprise security is essential. Significant experience in Product Management, Platform Product Management or Developer Platform products. Experience delivering enterprise software ...

able to defend it in a code review. Think in terms of workflows rather than single prompts. That means investing in the context these tools work from, whether that is repository level instructions, reusable skills or a shared knowledge base, so the output stays consistent and other people … involved in connecting tools together, for example bringing design tools such as Figma into the development flow, or wiring our own systems up over MCP so an agent can do something useful end to end. Strong TypeScript knowledge. Strong React knowledge. Experience with state management libraries, such as Zustand. Ability ...

design and ship AI-powered systems that GTM teams depend on for real commercial outcomes, not internal prototypes. That means making engineering decisions about model choice, agent design, and RAG pipelines the same way you would about any other production system, and taking full ownership of what happens when … agents, shipping AI-built systems to production, with concrete proof of impact rather than demosGenuine fluency with LLM APIs, agent frameworks, RAG pipelines, and MCP integrations, as an active practitioner rather than an occasional userDeep engineering judgment: you can validate AI-generated code, reason about security and architecture ...

Roku? At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting context, planning work, verifying outputs, and recovering when the agent goes off course. We're embracing AI as a powerful tool to amplify human creativity, accelerate innovation … Server-Side Ad Insertion (SSAI) and advertising technology ecosystemsYou 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 ...

Zendesk AI features, including knowledge base, FAQs, and agentic or assisted chat Build and maintain integrations across Box, JIRA, HiBob, and other platforms Develop MCP-based and Claude Code-driven automations to remove manual handoffs between teams Ensure automations affecting validated or GxP-relevant systems are version-controlled, peer-reviewed … regulated environment such as GxP, ISO 27001, medical devices, or clinical trials preferred Familiarity with computerised system validation concepts preferred Exposure to MCP, agentic automation patterns, or workflow tooling preferred Understanding of information security fundamentals, including access control, data classification, and least privilege preferred Core Competencies Demonstrates expertise in designing ...