176 to 200 of 222 Remote Model Context Protocol Jobs

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 an agent … management teams to create and implement new user experiencesAdapt proof-of-concept solutions into production-ready, scalable implementationsLeverage AI, machine learning, and large language model technologies to develop innovative platform featuresInvestigate, diagnose, and resolve technical issues to maintain commercially viable solutionsContribute to API design decisions, understanding considerations and trade ...

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 ...

Tell us what you've been exploring lately!What you'll doIn this role, you will:Design and build cutting-edge AI applications – from MCP servers and voice-to-voice real-time apps to RAG bots and multi-agent systems. You'll work on technology that's genuinely new territory.Advise … what drives you, and how you align with our culture of care, trust, transparency, and continuous improvement.What Futurice Offers YouWe use a transparent salary model based on your skills, responsibilities, and impact. The salary band for this role is 60,000 – 90,000 depending on experience.We also believe ...

belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world … management. Build platform components and tools for routing and making optimal use of various models.LLM & Agentic Infrastructure: Implement advanced context management, tool-use (MCP), skill tooling, and RAG to enhance research workflows and help scale our agentic infrastructure.Evaluation Frameworks: Build rigorous testing for probabilistic systems to ensure model ...

will build and operate the runtime, governance, and developer experience that product and service teams use, from model routing, caching, shared RAG services, MCP interfaces, Spec Kits, AI frameworks, Skills registries, to prompt management. You ensure AI agents and workloads run in a responsible (AI FinOps) and technically robust … surface for teams with AI FinOps, quotas, usage metering, and safety/compliance guardrails built in.Define and maintain platform standards (frameworks, SDKs, Spec Kits, MCP interfaces), curating the AI tool landscape and managing lifecycles from sandbox to standardization or retirement.Implement platform-wide observability (metrics, logs, traces), SLOs, cost and performance ...

effectively. Задачи: Design, build, and operate core GenAI platform components, including an LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling, and infrastructure for long-running agentic workflows; Own production-quality delivery of platform features from design through rollout, monitoring … asynchronous workflows, idempotency, consistency trade-offs, and designing for failure; Hands-on experience with LLM APIs or strong interest in learning about rate limits, context windows, multi-vendor routing, latency variance, and cost control; Security mindset for AI systems, including prompt injection risks, PII in logs, data leakage ...

training data.Agentic AI & LLM Guardrails: Design and deploy scalable guardrails, robust sandboxing, and real-time monitoring controls for our extensive LLM ecosystem, including ADK, MCP, and autonomous agentic workflows.Collaborative Security Engineering: Partner with ML researchers and platform engineers to design and implement robust security controls across the entire ML lifecycle … model inversion, data poisoning) and frameworks like OWASP Top 10 for LLMs or MITRE ATLAS.Agentic Frameworks Security: Proven experience securing agentic frameworks (ADK, MCP), agentic first infrastructure and implementing robust agent-to-agent (A2A) identity and access controls.Infrastructure Security: Solid proficiency in cloud platform security (GCP preferred), including container ...

with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers — you are the kind of person who'll sit with a scientist to understand … sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise ...

with the modern LLM/agent toolkit — model APIs, prompting, tool use, RAG, and the patterns this fast‐moving ecosystem is converging on (MCP, agent frameworks, evals). You enjoy working closely with non‐engineers — you are the kind of person who'll sit with a scientist to understand … sustainable work-life balance and we are open to discussing flexible working arrangements. We are a hybrid team operating on a highly collaborative model that values synchronization and pair programming. You will be welcomed by a team of colleagues with decades of accumulated experience in their areas of expertise ...

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 … analysis, auto-triage of build/test failures).Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.Dev Productivity & Enterprise Tooling (Global Scale)Set technical direction and standards for the globally used developer ...

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 … analysis, auto-triage of build/test failures).Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.Dev Productivity & Enterprise Tooling (Global Scale)Set technical direction and standards for the globally used developer ...

systems, leveraging modern agent SDKs and orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK).Design agentic workflows with tool use, agent skill, MCP-based integrations, memory and state management, multi-agent orchestration, and human-in-the-loop controls for enterprise-safe autonomy.Lead enterprise context engineering: connecting agents … adoption road maps.Proven ability to mentor and grow engineers and consultants.Desirables:Experience with agent orchestration frameworks (e.g., LangGraph, Claude Agent SDK, OpenAI Agents SDK), MCP-based integrations, or multi-agent architectures.Familiarity with evaluation and observability tooling for LLM systems (e.g., LangSmith).Exposure to SAP or large-scale enterprise transformation programmes.Experience ...

with AI agents for seamless production useOptimise and Evaluate: Conduct large-scale training and hyperparameter tuning, and define performance metrics to ensure high-quality model outputs.Data Strategy and Management: Design and implement strategies for data collection, curation, and augmentation to support robust model training.Documentation and Reporting: Communicate complex … machine learning frameworks such as TensorFlow or PyTorch, as well as AI agent frameworks like LLamaIndex and LangGraph; well-versed in LLM orchestration and MCP usage. Data-driven mindset: skilled in designing data strategies, including data collection, curation, and augmentation, to support model development. Experience with big-data frameworks ...

standards to ensure platform environments are version-controlled, auditable, and scalable. Lead the design and deployment of agentic automation workflows, including integrations built on MCP Servers, AWS Bedrock, Zapier, and API-layer connectors that reduce manual process overhead across business functions. Partner with Engineering and Data teams to ensure … audiences without jargon and with a sharp focus on business impact. Hands-on experience deploying AI and automation tooling in production, including agentic workflows, MCP Servers, or API-integrated AI platforms. A grounded view of where generative AI adds measurable value in an enterprise context, and the governance instincts ...

support the ingestion and retrieval of rich content such as PDFs and images,integrate LLMs through AWS Bedrock with robust operational patterns,connect to MCP-compatible services and tools exposed by other squads,orchestrate multi-step workflows combining reasoning, tool usage, and product actions.This is not just about integrating services … supporting AI-native product experiences.Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads.Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services.Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns.Hands-on delivery of complex systemsYou ...

support the ingestion and retrieval of rich content such as PDFs and images,integrate LLMs through AWS Bedrock with robust operational patterns,connect to MCP-compatible services and tools exposed by other squads,orchestrate multi-step workflows combining reasoning, tool usage, and product actions. This is not just about integrating … native product experiences. Contribute to reusable service boundaries, contracts, and interfaces that can be adopted across squads. Help define how applicative squads can expose MCP-compatible tools and capabilities to central AI services. Translate high-level architectural direction into concrete technical implementations and scalable engineering patterns. Hands-on delivery ...

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. If you are excited about … working this way, we want to talk to you.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 ...

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. If you are excited about working … this way, we want to talk to you. 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 ...

specialization in at least one AI platform ecosystem — Google (Gemini Enterprise), Anthropic (Claude), or OpenAI — deep enough to advise credibly on platform strategy. Understand context engineering well enough to shape how clients connect AI to their data, documents, and systems. Lead and develop the US consulting team: recruiting, mentoring … Preferred Experience Vertical expertise in CPG, retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join ...

zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud‐based software to track and model power grids around the world. As a Lead Software Engineer on the AI team you will build systems where LLMs autonomously plan and call tools … infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

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 an agent … integrate with operational/analytics workloads.ML Infrastructure: Help build a first-class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality.Low-Level Systems Debugging, Performance Measurement & Optimisation: Performance ...

build, operate, and improve them, including on-call responsibility Deliver infrastructure as code using Terraform, Helm, and ArgoCD, with GitOps as the default operating model Build and maintain developer experience tooling: onboarding templates, CI/CD pipelines, local … development environments, and self-service capabilities that remove manual gatekeeping Contribute to our agent infrastructure — sandboxed execution environments, credential brokering, guardrails, and the internal MCP servers and skills that make coding agents effective against our stack Improve observability and alerting so that system health is visible and actionable without manual ...

scope and sequence at pace Drive our agentic commerce agenda: extend our live agent-initiated checkout channels and build the commerce layer (APIs and MCP) that lets AI agents discover, query and transact against our catalogue Open the platform to brands and operational partners: integration surfaces (APIs and MCP … humour and self-awareness, thriving in a feedback-driven, growth-oriented culture Highly desired: Hands-on experience building with LLMs, such as prompt engineering, MCP or commerce protocols, agent integrations, or designing eval suites for AI features Experience with retail media, marketplace advertising or feed-based distribution channels Experience with ...