201 to 222 of 222 Remote/Hybrid Model Context Protocol Jobs

scale 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 can describe projects where you shipped real work with these tools. You know how to drive an agent … Java to move models from research to productionApply sound feature engineering, validation, and evaluation practices throughout the modelling lifecycleDiagnose production ML issues such as model drift or long-tail classification problemsCommunicate technical trade-offs clearly to engineering and cross-functional partnersWhat experience would help someone be successful in this ...

Tooling & Security • Support the secure adoption and scaling of AI tools across Bulk. • Manage AI platforms including Claude Code, GitHub Copilot, Codex-style tools, MCP servers, integrations and connectors. • Own user access, permissions and governance, applying least-privilege principles. • Support teams onboarding new AI technologies, balancing innovation and productivity with … security and compliance. • Develop appropriate controls as agentic AI, MCP and connector-based technologies evolve. About You You're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure and cyber security. You enjoy getting hands-on with technology ...

configuration and maintenance of AI tooling such as Claude Code, GitHub Copilot, Codex-style coding/agent tools and similar technologies.• Manage AI integrations, MCP server configuration and connectors.• Manage user access, permissions and governance, applying least-privilege principles to AI tools and integrations.• Partner with teams onboarding … tools, balancing productivity and innovation with security and compliance.• Help establish appropriate access controls and security practices as agentic AI, MCP and connector-based technologies continue to evolve.About YouYou're probably already operating at strong 3rd Line Engineer level and looking for the opportunity to take broader ownership across infrastructure ...

three key areas:1. Understanding AI use cases and emerging technology:Stay informed about the AI industry landscape, encompassing areas such as models, agents, MCP, retrieval, evaluation, coding assistants, workflow automation, AI safety tooling, and vendor offerings.Gain comprehensive insight into the ways Arm engineers apply AI today. Identify where safe … adoption patterns.2. Evaluation, prototyping and demonstration:Explore safe and secure patterns for the usage of core AI technologies - including skills, agents, RAG pipelines, MCP gateways, workload isolation, secrets management, LLM gateways and more.Evaluate, prototype and implement technology solutions that provide the controls, guardrails and observability needed for Arm engineers ...

Platform team becoming a delivery bottleneck Advance our agent-native engineering model — safe execution environments, credential and secret handling, internal tooling and MCP servers, and evaluation of where agents genuinely improve outcomes Set standards for how the engineering organisation works with coding agents, including review practice, context engineering … when implemented poorly Platform Security: Strong grounding in identity and SSO, workload identity, secrets management, and network policy. You can reason about a threat model directly rather than through a compliance checklist Programming: Strong Python. You build tooling, not only configuration AI Coding Agents: Exceptional practical command of agentic ...

powered agents, enrichment pipelines, and AI-assisted automations that the commercial org depends on. You will make engineering decisions about models, infrastructure, and MCP integrations. You will design prompting systems that non-technical users rely on without ever touching a prompt themselves. The test for everything you build is whether … assisted automation — not just prototypesActive practitioner of modern AI development tooling (Claude, Lovable, Cursor, or equivalent) and comfortable working with LLM APIs and MCP integrations — AI Fluency Level 4 or the equivalent hands-on engineering experienceHands-on experience building against Salesforce or equivalent CRM APIs: workflows, event-driven logic ...

work with data effectively — ingestion infrastructure, a reliable lakehouse, the tooling that data engineers build on top of, and increasingly, AI-powered interfaces (MCP connectors, workflow skills, and integrations) that bring data directly into how people and AI agents get work done across DeepL. Our customers aren't just data … scaleEnable AI-powered data workflows: build the connectors, interfaces, and integrations that bring data into the hands of humans and AI agents alike, including MCP connectors and workflow skills that let the rest of DeepL access and work with data in AI-assisted workflows. Design for the full range ...

fleet managers, autonomy stacks, data models, and their real limitations. You will also be the engineering counterpart to our robotics ecosystem: OEMs, robotics foundation model companies, startup networks, and standards bodies. When an OEM partner puts their platform engineers in a room, you are the person on our side … where these standards genuinely work and where they fall short Agent-first integration: designing AI agents that plan, dispatch, and supervise robot missions; MCP servers and tool interfaces over robot APIs; orchestration frameworks such as LangGraph, Pydantic AI, or provider-native SDKs; permissioning, human-in-the-loop escalation, and audit ...

Securing AI narrative: Own the technical story for Snyk Evo, translating AI-native development risk (vulnerable AI-generated code, unsafe agentic workflows, unvetted MCP servers and LLM integrations) into a case that resonates with both engineering and security leadership.Architect Technical Strategy: Partner with Account Directors to co-lead the sales … into compelling financial justifications for C-suite decision-makers.Run Hands-On Technical Evaluations: Scope and lead proofs of concept and pilots covering agentic AI, MCP servers, LLM-assisted coding, and traditional AppSec surfaces, demonstrating Snyk and Evo working across a customer's real development and AI environment.Drive Strategic Engagement: Present ...

dual-focus senior backend role, split roughly 50/50 between AI and core platform engineering. Half the job is AI on GCP, building MCP/agent tooling in Python, shipping LLM-backed features into our portals, and driving AI-assisted dev practices across the team. The other half … builds, tests, reviews REST services independently• Practical fluency with AI dev tools (Claude Code, Codex, etc.), has automated real work with themNice to have: MCP/tool-calling experience, RAG in production, legacy Java migration experience, HCP/adtech domain exposure. Location & Hours:Can work remotely in your current country ...

force multiplier across the team. Build systems that increase the impact of high-leverage work. Examples include: multiply our ABX operations; use GWI’s MCP and API to generate personalised content at scale; Connect data sources and context to create a Growth Marketing OS that surfaces what’s working … computer science degree or a software engineering background, but you’re comfortable in low/no-code platforms, happy wiring up APIs and MCP, and you pick new tools up fast. Bonus points for:Built agentic workflows that drove a real marketing outcome with before/after numbers to prove ...

treats that as part of the job, not a side project. What you will do Conduct in-depth analysis of client needs and context, identify where AI delivers real value, and challenge stakeholders to develop solutions that address the actual problem rather than the surface symptom Design, formalise … your own work, while staying in control and challenging the output when it is wrong Practical understanding of Claude Code, Cowork, plugins and skills, MCP connectors, and what an AI agent actually is and is not Technical background sufficient to discuss enterprise architecture, integrations, and data flows at a senior ...

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. ...

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. … into direct input to the CEO, CPO, CTO, and Product organization on roadmap priorities, platform strategy, competitive positioning, and emerging customer requirements, including Enterprise MCP, agentic AI frameworks, and governance. Field Enablement. Coach Solutions Engineering, Customer Success, and Sales leadership on executive engagement, strategic technology positioning, and boardroom storytelling. Build ...

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 ...

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 ...

this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You’ll push the boundaries of what’s possible with AI-assisted development, both personally and through how you set up your teams.What … even further even faster.Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means ...

evolving AI-driven workflows & governance across the Discover–Define–Deliver innovation lifecycleRecommend and drive integration strategies and automation opportunities utilizing Miro’s API, WebSDK & MCP that drive alignment, speed and business valueProvide guidance on embedding Miro into the customer’s existing systems and ways of working.Proactive Technical OptimizationMonitor platform health … strategy.What you’ll need5+ years in consulting, technical account management, forward deployed engineering or similar roles in enterprise SaaSStrong technical fluency: familiarity with APIs, MCP connectors,integrations and enterprise IT ecosystemsProven ability to lead workflow optimization, platform adoption and large-scale change management initiativesExperience leveraging AI, prompt engineering and agentic ...

driven workflows & governance across the Discover-Define-Deliver innovation lifecycle Recommend and drive integration strategies and automation opportunities utilizing Miro’s API, WebSDK & MCP that drive alignment, speed and business value Provide guidance on embedding Miro into the customer’s existing systems and ways of working. Proactive Technical Optimization Monitor … need 5+ years in consulting , technical account management , forward deployed engineering or similar roles in enterprise SaaS Strong technical fluency: familiarity with APIs , MCP connectors , integrations and enterprise IT ecosystems Proven ability to lead workflow optimization , platform adoption and large-scale change management initiatives Experience leveraging AI , prompt engineering ...

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. … governing how AI agents are authorized, orchestrated, and monitored while reliably executing the work they trigger across every connected system. A visionary 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 ...

customers actually look at: the web app, the mobile app, the metrics engine behind our analytics cards, the scheduled reports, and our AI and MCP services. A typical feature means adding a query capability to a Django service, exposing it through an API, then building the interface … metrics mean the same thing everywhere they're used. AI features: dashboard summaries, an AI chat over a customer's own data, and our MCP server that lets tools like Claude query Tenzo directly A significant push on our BI capabilities, including new chart types, heatmaps, and more flexible ways ...