51 to 75 of 81 Remote/Hybrid Model Context Protocol Jobs

individual-contributor role for engineers who live at the current edge of AI development and work fluently with Claude Code, Cursor, agents, eval harnesses, MCP, and modern TypeScript and Python. What You’ll Do Problem/Opportunity Discovery Sit with a business or clinical leader and reframe an idea … your own orchestration layer. Integrate frontier and self-hosted LLMs (Claude, GPT, Gemini, open-weight models) with tools, data, and external systems through MCP and custom connectors. Apply RAG techniques where they actually help: vector databases (Pinecone, Chroma, Weaviate, pgvector), hybrid retrieval with Elasticsearch or Solr, and BM25 + similarity ...

agents across the business. You will own delivery, scale the function, and define its future. You\'ll work with Claude, Claude Code, MCP, LangChain to implement multi-agent systems, RAG pipelines, and tooling. This is a hands-on leadership role with three engineers initially. The role is fully remote within ...

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 ...

cannot. You'll be early enough to shape how we sell. This role is based in London. We mainly use an in-person work model, with a flexible work-from-home policy. Take ownership of a named account list , guiding clients through the full sales cycle—from prospecting ...

that automate insurance workflows end-to-end across Policy, Billing, and Claims domains. The role owns the patterns, frameworks, and standards for agent orchestration, MCP-based tool ecosystems, agent memory, planning, evaluation, and safety. RAG and conversational features are table stakes; the forward agenda is autonomous and semi-autonomous agents … pricing intelligence, billing troubleshooting, and beyond - across our platform and technology stacks. Key Responsibilities Own the architecture of EIS's agentic platform: agent orchestration, MCP-native tool ecosystems, agent memory (short-term, long-term, semantic), planning, and tool/function calling patterns reusable across product domains. Enable and provide support ...

product requirements, and to provide early, high-level advice on opportunities and possible solutions Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices Provide technical guidance and mentorship to the engineering teams. Collaboration and Communication: Foster strong relationships … focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs, prompt engineering, model evaluation, and fine-tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms ...

TensorFlow or scikit‐learn to build and deploy scalable solutions. Experience developing advanced AI/ML and GenAI solutions, including working with LLMs, RAG, MCP, agents or similar patterns in practical environments. Experience working with cloud platforms such as AWS, Azure or GCP to design and support scalable AI systems. … Experience with AI operations practices, including CI/CD, evaluation frameworks, monitoring and model registries. Experience with data engineering and large‐scale data processing. Payments or fintech experience, or experience working in dynamic change or transformation environments, alongside stakeholder communication and collaboration skills. Responsibilities & Accountabilities Build and maintain data ...

trigger network actions. Support deployment and operation of AI platforms such as Vertex AI or similar. Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends. Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices. Implement infrastructure-as-code for platform environments and network … Open APIs. NETCONF/RESTCONF, gRPC, vendor APIs. API management and orchestration. Intent-to-configuration workflows. Data pipelines. Vector databases and graph APIs. MCP integration. Security frameworks and compliance controls. Observability and logging. Preferred Certifications Kubernetes CKA/CKAD. Terraform Associate. Red Hat Ansible certification. Google Cloud, AWS, or Azure ...

safely trigger network actions.Support deployment and operation of AI platforms such as Vertex AI or similar.Integrate with vector databases, graph APIs, data pipelines, MCP servers, and automation backends.Support Kubernetes-based deployment of automation services, agent services, APIs, and microservices.Implement infrastructure-as-code for platform environments and network automation resources.Ensure automation … Ericsson automation-related certifications.TM Forum Open API certification.Nice-to-Have QualificationsExperience with Google Vertex AI, Gemini APIs, BigQuery, or similar platforms.Experience with LangChain, LangGraph, MCP, or agentic AI execution frameworks.Experience with ServiceNow, Netcracker, Amdocs, Ericsson, Nokia, Cisco NSO, Juniper Paragon, or similar orchestration platforms.Experience building secure automation for production telecom ...

edge components, ensuring sensible security trade-offs aligned to product goals. Advise on the security architecture of agent orchestration, tool integrations, memory handling, and MCP server deployments as agentic AI capabilities expand. AI Security and Governance Apply and evolve Semble's approach to AI‐specific threats: prompt injection, excessive agent … with engineering teams. Familiarity with API gateways, container orchestration, and software supply chain security. Experience securing AI‐enabled features, ML pipelines, agentic workflows, or MCP‐based integrations. Experience building or maturing a security function within a scaling organisation. Exposure to healthcare data regulations and NHS security requirements. Proficiency ...

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 … products and platforms. What's in it for me? Permanent, full-time Software Engineer (AI Focus) role Salary £70,000 - £100,000 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 ...

follow-up calls Expanding the company's customer-facing AI assistant Using multimodal models to process service histories, photographs and documents Extending an internal MCP server that connects AI tools with company systems Developing internal applications and dashboards Contributing to applications used by employees across the company's stores … following would be helpful: Third-party API integrations AWS Lambda or serverless development Event-driven systems OpenAI, Anthropic or other LLM APIs Prompt engineering, MCP or agent patterns React PHP, Laravel, MySQL or DynamoDB Swift or SwiftUI You are not expected to have worked with everything listed. What this role ...

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 ...

APIs and understanding of JSON data structures AI/LLM Exposure: Practical experience interacting with LLM APIs (OpenAI, Anthropic, etc.) and understanding concepts like Context Windows, RAG, System Prompts, and Temperature Concurrency: Understanding of asynchronous programming (WebSockets, goroutines) is highly beneficial given the real-time nature of voice data … experience in industry A team player who shows initiative Desirable experience: Experience with LLM guardrails and PII-redaction Understanding of LLM tool development and MCP Knowledge of Speech-to-Text (STT) or Text-to-Speech (TTS) technologies Experience with WebSockets and streaming data Familiarity with Telephony/VoIP Other Skills ...

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 Senior 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 Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme ...

tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity or Capital. Experience in defining data strategy for advanced analytical initiatives, including data governance, sourcing, and ethical … skills that can drive your career. By joining Citi, 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 ...

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 Strong TDD experience Java/Microservices/API design/LLMs/ ...

PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph or MCP libraries Strong programming skills, especially in Python (other languages like C++, Scala, Rust etc are bonuses). Practical experience implementing and deploying using various techniques including ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

Agents team from day one - owning delivery, growing the function, and proving the value. You'll work daily with Claude, Claude Code, MCP, and LangChain to build production-grade agents and automations that internal teams actually use. Your team builds automations and agents for internal use and serves as internal … Help refine AI training for the wider organisation, including Software Engineering teams Technical Environment AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, LangGraph, MCP, multi-agent orchestration, Google ADK (or similar agentic tooling) Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway) Enterprise Tooling: Identity ...

Pleo's internal AI infrastructure team, the platform every customer-facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale. This is a technical engineering management role … delivery, quality, team development, and ways of working. Own the execution of the platform roadmap including but not limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition. Manage the stakeholders relationship with Data & AI Products as the primary internal customer and ensure ...

ours, so we’re also looking for experience developing AI enabled applications and workflows. This includes knowledge around platforms and frameworks (e.g. N8N, Mastra), context engineering, using vector stores, RAG, fine-tuning and evaluation. You will have a growth mindset, always keen to learn and explore, and you like … dependency management. Familiarity with Bun is also desirable. Proficient with AI tooling including delivering code using CLI or editor-based LLM agents, using MCP servers Solid understanding of the React paradigm, including one way data binding, declarative programming, rules of hooks, react anti-patterns Practical experience of software engineering principles ...

that is now AI. Our AI chatbot is live with customers, and there's plenty left to build - new agents, new tooling, new MCP integrations. You'll also help evolve the infrastructure that processes retail data at a serious scale. It's a rare mix: mature systems with real users … Analysts and Customer Success, to understand business requirements, identify problems, and develop innovative solutions. Build our AI chatbot, along with the agents, tooling and MCP integrations behind it - used both internally and by customers. Lead by example on how we build with AI, while raising the bar on code quality ...

safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We’re also core contributors to the MCP spec … t. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across the company's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high‐performing team Coach ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more Provide hands-on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research Create technical presentations ...