101 to 125 of 180 Remote/Hybrid Model Context Protocol Jobs

Skills & Experience 4+ years in Product Management experience - in fast-paced and agile environments. Proven track record of shipping B2B SaaS or enterprise software; MCP and headless experience is a strong plus. Comfortable owning a technical product - able to hold your own with engineers on architecture, performance and trade ...

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 ...

frameworks using network documentation, alarms, topology, inventory, KPIs, trouble tickets, procedures, configuration data, and operational knowledge.* Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks.* Implement vector search, semantic retrieval, graph-enhanced retrieval, and hybrid search patterns.* Develop AI agents for fault diagnosis, root-cause analysis, KPI analysis … systems.* Strong Python programming skills.* Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures.* Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks.* Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, ChromaDB, or equivalent.* Experience with graph databases, knowledge graphs, or Graph APIs. ...

ambiguous, fast-moving environments, then harden them into robust, scalable, secure production systems.* Build and run evaluation frameworks that give clients confidence in model and system behaviour, treating evals as a first-class part of the delivery lifecycle rather than an afterthought.* Act as a technical anchor for delivery … Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection ...

ambiguous, fast-moving environments, then harden them into robust, scalable, secure production systems.* Build and run evaluation frameworks that give clients confidence in model and system behaviour, treating evals as a first-class part of the delivery lifecycle rather than an afterthought.* Act as a technical anchor for delivery … Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection ...

ambiguous, fast-moving environments, then harden them into robust, scalable, secure production systems.* Build and run evaluation frameworks that give clients confidence in model and system behaviour, treating evals as a first-class part of the delivery lifecycle rather than an afterthought.* Act as a technical anchor for delivery … Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection ...

users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully. Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

seeks an AI Engineer to join a high-impact team powering a global lending platform. You will build and operate AI components, focusing on MCP tools and AI agent frameworks, within a SCRUM environment. The role emphasizes production deployment of LLM-powered solutions, strong Python/ML skills, and collaboration ...

Citigroup Inc. is seeking a Senior Forward Deployed Engineer in London to build production‐grade agent reasoning loops, custom MCP servers, and resilient execution pipelines embedded in LOB squads. You’ll work with Python, LLM APIs, and enterprise tools across the CI/CD lifecycle. You will integrate AI with ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity This ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity This ...

coaching, service design, learning and development or change management Experience setting up and connecting AI tools, e.g. building agentic workflows and/or configuring MCP servers Experience with other platforms in our stack (e.g. HubSpot, ArcGIS, Snowflake), and comfortable getting hands‐on with unfamiliar environments. We recognise that women ...

TypeScript) is a welcome plus, not a requirement Enterprise Platform Fluency: You bring hands-on experience with the building blocks of modern enterprise APIs (MCP, CLIs, and OAuth) and know how to wield them to build secure, extensible integrations Cross-Team Leadership: You have a track record of leading projects ...

LLMs * Retrieval Augmented Generation (RAG) * Multi-Agent Systems * MLOps/LLMOps * LangGraph, LangChain, Semantic Kernel, CrewAI or AutoGen * OpenAI Agents, Microsoft Copilot Studio and MCP * Azure, AWS or GCP Education * 2:1 degree or above from a Russell Group university in Computer Science, Artificial Intelligence, Mathematics, Physics, Engineering … Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

role focuses on building enterprise-grade Generative AI and AI governance solutions. You’ll leverage Gemini, Open-Source LLMs, RAG, ADK/MCP, and GCP to deliver scalable AI platforms, APIs, and microservices while ensuring performance, security, and #J-18808-Ljbffr ...

integrations: HRIS, identity providers (Entra ID, Okta), access control or IoT sensors. Experience shipping LLM or agent features to enterprise customers, including evaluation frameworks, MCP or similar tool protocols, and AI governance or data-residency reviews. Why Kadence Early-stage startup environment with real scope for impact: your work will ...

that deliver. Bring a bias to ship a working prototype over a perfect specification. Build with AI as the default. Use LLMs, agentic workflows, MCP builds and evals as everyday tools. Ask “how would AI do this?” before reaching for headcount or manual effort. Own reliability. Treat what you build ...

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 … provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them. Create reusable agent templates, modular components, and paved-path patterns ...

them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake) and delivering through modern interfaces such as MCP, rather than building parallel infrastructure. Team Building & People Leadership Proven ability to build, grow, and retain a high‐performing teams, defining roles, skills, and competencies … developing existing talent into a world‐class capability. Experience designing the operating model of a technical team, its ways of working, delivery cadence, quality standards, and tooling, in a product operating model context. A coaching leadership style that raises the technical bar while creating an environment where ...

Docker/Kubernetes/OpenShift, and Linux operating systems. AI Tooling & Automation: Demonstrated familiarity with LLMs, GenAI tools, and Agentic frameworks (e.g., LangChain, LlamaIndex, MCP tools, automated coding agents) applied to engineering productivity or domain solutions. Domain & Industry Experience Financial Services Experience: Proven track record working within a Tier … live well and save well. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole ...

tool-calling, structured outputs, planning/state management, retries, guardrails, and orchestration layers on top of LLM provider APIs (Anthropic, OpenAI, open-weight models, MCP). Ship internal AI automations to remove engineering/support/growth toil by integrating with existing tooling (GitHub, Slack, Intercom, Jira) or building bespoke … practices (golden datasets, eval harnesses, tracing, graceful failure modes, cost/latency controls). Deep LLM-API fluency (Anthropic/OpenAI/open-weight), MCP, agent frameworks, and familiarity with AI coding tools (Claude Code, Cursor). Cloud and delivery experience: AWS and/or DigitalOcean, Docker, CI/ ...

state, retries and guardrails - and the orchestration/harness layer on top of existing LLM providers via API (Anthropic, OpenAI, open-weight models, MCP). You write the agent, not just its config. Ship internal AI automations that remove real toil - e.g. triaged, automated engineering-workflow and pull-request review … graceful failure. You treat “does it work, measurably?” as the job, not an afterthought. Deep LLM-API fluency (Anthropic/OpenAI/open-weight), MCP, agent frameworks - and fluency using AI coding tools (Claude Code, Cursor) to move fast. Cloud and delivery: AWS and/or DigitalOcean, Docker, CI/ ...

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 agentic frameworks - and can describe projects where you shipped real customer-facing work with these tools. You know how to drive … integration Experience with test-driven development, CI/CD workflows, and continuous integration tools (Jenkins, GitLab) Experience integrating AI technologies such as Skills, Agents, MCP Servers, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure ...

management, forecasting and optimisation (including usage-based pricing shifts), and the staff access model. This includes: AI safety for internal use: sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars: control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting … built or significantly scaled a team. Current, hands-on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering. AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data-boundary reasoning; able ...