26 to 49 of 49 Model Context Protocol Jobs

facing engineering role - forward deployed engineering, technical consulting, or engineering advisory Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development External presence - writing, speaking, or community contribution in the software engineering or engineering leadership space Experience working alongside or within partner ecosystems such ...

them to business goals, risk posture, and engineering standards across cloud and hybrid environments Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops Establish integration patterns (APIs, events, microservices) to embed model powered capabilities into existing platforms with clear service … core banking, CRM, risk, payments) Design audit ready agent interactions, tool usage logs, and decision provenance Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns) Hands on expertise with agentic frameworks (orchestrators) Experience with LLMs, prompt engineering, tool/function calling, memory management API first integration, event driven ...

That instinct is exactly what this team needs. The company This is an AI‐native integration layer for SaaS products and agents: unified APIs, MCP‐friendly tooling and A2A (agent‐to‐app and app‐to‐app) bridges so builders can wire their products into hundreds of third‐party tools without ...

About the context**The Principal Architect - Intelligent Automation drives the strategic technology roadmap and high-level design for Intelligent Automation (Low Code, Digital Automation, Conversational AI and Agentic AI) within the global corporate domains. In addition, they will play a key role in animating the global community of Intelligent … architecture patterns and reference architectures for Agentic AI solutions, leveraging Azure AI Foundry as the pro-code platform - including multi-agent orchestration, tool integration (MCP, A2A, OpenAPI), agent memory, and enterprise knowledge grounding (RAG)* Assess opportunities for Intelligent Automation based on technical feasibility and business value, to enable prioritisation ...

design, motion, and interaction detail. Great taste. Experience integrating LLMs into products, whether that's AI-powered prototyping, agent systems, or orchestration. MCP experience is a plus. Deep expertise in at least one programming language (JavaScript, Kotlin, Swift, or similar). We expect you'll use AI tools to accelerate ...

including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous improvement workflows. Design, build, and optimize robust data pipelines … Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ELT pipelines, DLT, Delta Lake Infrastructure as Code (IaC): Terraform, ARM templates, Ansible Version Control & DevOps: Git, Azure DevOps ...

that is how we grow. We are a distributed team and have been since day 1. We build solutions for distributed workforces so we model our workforce the same way. In this role you really can work where you want within the United States. Responsibilities Drive the strategy, design … processes, and data modeling best practices. Strong knowledge of SQL, Python and TypeScript. Knowledge of AI tools including Langchain, Open AI Agents, and MCP APIs. Excellent communication skills and understanding of the realities of developing in a startup environment (i.e. you know the difference between small problems and big ones ...

BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive … whole surface from UI to infrastructure AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs Claude Code proficiency is essential — we build with it daily and we'll want ...

systems using vector databases Core RAG Components & Optimization : Doc Chunking , Embeddings , Parallel Processing , Agent building and A2A Orchestration & Engineering : Orchestration, LangChain , LangGraph , LangFlow , LangFuse , MCP GraphRAG : Knowledge graphs ontology and without ontology Model QA &Testing ...

Responsibilities Own and evolve a production-ready AI platform Design and deliver AI-powered client solutions, including RAG pipelines, agent architectures, LLM integrations, and protocol-driven tooling Build scalable AI systems using modern software engineering best practice (clean code, testing, CI/CD) Develop internal AI tooling to accelerate … systems Experience shipping AI-powered features into production environments Proficiency in at least two modern programming languages Familiarity with emerging AI tooling (e.g. MCP, A2A, Threads or similar) Consultancy or client-facing technology delivery experience Desirable: Experience with vector databases, embeddings, or model fine-tuning Cloud platform experience ...

environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging AI tools, frameworks … prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy or client-facing delivery experience Desirable: Vector databases, embeddings, fine-tuning Cloud experience (AWS preferred) Open-source contributions or visible ...

intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (e.g. MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers … platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Competitive salary (£70,000 - £90,000) Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within a growing ...

Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading … powered product features and workflows Working with LLMs in production, including prompt engineering and optimisation Building AI agents and advanced workflows Developing and integrating MCP services and API-driven AI interactions Embedding AI into core product functionality, integrations and internal systems Identifying and delivering practical AI use cases at scale ...

services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/… similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours Communicates clearly with technical and non-technical ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java/Microservices/API design/LLMs/AI/Claude ...

strangler fig) to deliver clean, modern APIs Ship improvements in fast cycles with measurable gains in performance and reliability Build AI-powered tooling, including MCP servers and AI-assisted CI/CD pipelines Demonstrate how AI transforms developer productivity and code quality What We're Looking For 6+ years' backend … experience (Java) Proven experience modernising production systems at scale Hands-on use of AI development tools (e.g. Claude Code, GitHub Copilot, LLMs) Experience with MCP, AI automation, or agentic AI systems Strong understanding of microservices and API design Java/Microservices/API design/LLMs/AI/Claude ...

requires a strong interest and knowledge of the world of AI in a business context, its use cases, key developments and releases (e.g. MCP, A2A protocol, GPT-5), and the major AI and agent platforms operating in this space. The candidate’s knowledge should extend to a technical ...

develop AI‐related features such as: Intelligent search/retrieval experiences and RAG Summarisation and document comprehension at scale Context management AI agents, MCP servers, and best‐practice configuration of, for example, AGENTS.md Advanced use of tools such as Claude Code and Codex Assistants and copilots embedded into workflows ...

customer-facing AI systems and support pipelines Architect large-scale RAG and knowledge systems Design multi-agent and agent swarm architectures Manage LLM integration, model selection and cost/performance optimisation Fine-tune domain-specific LLMs and maintain observability (LangFuse, W&B) Build workflow automation pipelines with …/or JavaScript Hands-on expertise with LangChain, n8n and RAG at scale LLM fine-tuning and multi-agent architecture experience Familiarity with MCP and modern AI tooling (Cursor, Claude) A product mindset: you identify what teams actually need and drive adoption Bonus: Voice AI/multimodal experience or open ...

services using Node.js and REST APIs Ship production-ready agents with reliability, monitoring, and performance in mind Integrate agents with external tools, APIs, and MCP servers Establish observability for AI systems, including tracing, cost monitoring, and failure detection Develop evaluation and testing frameworks for agent performance and reliability Collaborate with …/TypeScript and Node.js Experience designing and consuming REST APIs Proven track record of shipping AI agents to production environments Preferred Qualifications Experience with MCP server development or agent-to-tool integration frameworks Familiarity with observability tools for AI workloads (e.g., tracing, cost tracking, failure analysis) Exposure to e-commerce ...

services using Node.js and REST APIs Ship production-ready agents with reliability, monitoring, and performance in mind Integrate agents with external tools, APIs, and MCP servers Establish observability for AI systems, including tracing, cost monitoring, and failure detection Develop evaluation and testing frameworks for agent performance and reliability Collaborate with …/TypeScript and Node.js Experience designing and consuming REST APIs Proven track record of shipping AI agents to production environments Preferred Qualifications Experience with MCP server development or agent-to-tool integration frameworks Familiarity with observability tools for AI workloads (e.g., tracing, cost tracking, failure analysis) Exposure to e-commerce ...

This is the next step, and they want someone already living on the other side of it. What the role involves: Building agent scaffolding; context files, prompt architectures and skills that keep AI on track without constant intervention Designing verification systems for AI-generated code you didn't write … generated output you didn't produce yourself Strong communication across technical and non-technical stakeholders What would make you stand out: You've built MCP servers, custom agent tooling, or agent skills You've implemented cost controls for token spend You can point to something non-trivial built primarily ...

experience platforms.* 3+ years leading large, strategic, and complex enterprise deals.* Deep technical fluency with web/scripting technologies (HTML, CSS, JavaScript, JSON, LLMs, MCP) and SaaS architectures.* Proven success in positioning the business value of technical solutions and the strategic role of Professional Services and Partners.* Hands-on experience … Customer Service software, ITSM, Business Intelligence, Data Warehousing, Workforce Management, QA or Integration & Middleware.* Strong understanding of AI and automation technologies (LLMs, NLP, ChatGPT, MCP, predictive analytics) and their impact on customer service transformation.* Demonstrated ability to lead virtual teams to successful outcomes and build consensus across technical and business ...

company's risk framework. Integrations require technical depth and will form a significant part of the role. Develop a deep working understanding of how MCP servers, API connections, and OAuth permission scopes function in practice, and what each means for data exposure and system integrity. Work from minimal information provided … guidelines and training. Required Experience and Skills Technical Background: A solid technical foundation with a genuine understanding of AI technologies, including LLMs, agentic AI, MCP servers, APIs, OAuth permission scopes, and AI integrations. Ability to identify and articulate risks that requesters have not considered and to interrogate vendor security documentation ...