426 to 450 of 569 Model Context Protocol Jobs

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 Principal 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 ...

guardrails, and policies. Rapidly prototype agentic flows hands-on: orchestration across specialised sub-agents, tool/function calling against internal platform APIs, prompt and context design, agent memory, and evaluation harnesses — proving value and feasibility before committing engineering investment. Take successful prototypes to production with engineering, data science … drive alignment across senior cross-functional stakeholders. Preferred Qualifications: Experience building or shipping agentic AI systems: multi-agent orchestration, tool/function calling, MCP or similar protocols, agent memory, human-in-the-loop review patterns, and agent evaluation. Background in e-commerce merchandising, personalisation, or marketplace optimisation — pricing display, recommendations ...

deliver safe, reliable AI solutions. Key Responsibilities Build production applications within customer systems using Claude models. Deliver technical artifacts for production workflows (e.g., MCP servers, sub-agents, agent skills). Provide high‐touch deployment and operational support for enterprise customers. Identify, codify, and communicate repeatable deployment patterns back to Product … time; some roles may require more office time. Visa sponsorship is available in some cases. Claude (Anthropic models) LLMs Python TypeScript Java MCP servers sub-agents agent skills Skills Customer‐facing engineering Cross‐functional collaboration Communication Problem solving Autonomy and high agency Client engagement and relationship building Production software delivery ...

enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients, and LLM-powered experiences. Partner with Product, Technology, and Customer teams to ensure new initiatives align with platform architecture and long-term strategic goals. … communication skills, with the ability to influence both technical and executive audiences. Nice-to-have Lakehousearchitectures. Semantic technologies or knowledge graphs. Event streaming platforms. MCP or AI integration frameworks. Financial services orRegTechexperience. Comply is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race ...

simply demo an existing product. You’ll be expected to build and tailor the solution for the customer — using Patsnap’s data, APIs, MCP capabilities and AI tools to create agents, workflows, prototypes and proof‐of‐concepts that bring their use case to life. The brief is simple: Understand … translating pain points into practical AI solutions. Build and demonstrate AI agents, workflows, prototypes, integrations and tailored proof‐of‐concepts using Patsnap’s APIs, MCP capabilities and customer context. Run proof‐of‐concept projects end to end, from scoping and build through testing, feedback and iteration. Configure and deploy ...

Midnight-specific code Build and maintain reference implementations, prompts, and examples that improve agent output quality Evaluate new agentic coding tools and protocols (e.g. MCP servers) for relevance to the Midnight developer ecosystem Builder & Agentic Tooling Feedback Loop Monitor how builders and agentic tools are actually using Midnight — successes, failure … tools Recommended Experience & Qualifications Hands-on experience building, integrating, or maintaining AI coding assistants or agentic dev tooling (e.g. Claude Code, Cursor, GitHub Copilot, MCP servers, RAG-based coding assistants) Practical understanding of how AI coding agents consume context — prompting, retrieval, tool use — and what makes them succeed ...

latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design … address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto ...

latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. Raise the bar on your team through code and design … address data, OpenStreetMap, or conflation of overlapping sources. Public API or SDK design experience, particularly for developers you never talk to. Experience building against MCP or similar tool transports. Experience running evals in CI, with a commercial harness or one you built. Automotive, in-vehicle infotainment, CarPlay, or Android Auto ...

products, developer tools, coding assistants, agents, or LLM-based workflows. Strong understanding of how modern coding agents operate, including tool calling, context management, MCP, and evaluation techniques. A track record of driving technical direction in ambiguous and rapidly evolving areas. Strong product instincts and an ability to balance innovation ...

Working closely with People Leadership and central IT, you will bridge the gap between HR requirements and technical execution—connecting structured data with policy context, embedding crucial governance controls (like human-in-the-loop checkpoints), and monitoring system health to ensure secure, high-performing solutions with clear, jargon-free … experience building with LLMs in production — agent orchestration frameworks, tool and function calling, prompt and context engineering, and evaluation. Comfortable configuring and extending MCP servers, or the confidence to get there quickly. Strong process-design instincts: you can look at a human workflow and see where the joins, exceptions ...

maintain, and prioritize the product backlog across functional and non-functional requirements — covering the Integration Fabric, Knowledge Graph, Search, Permissions, Governance, Observability, APIs, and MCP layers Author clear, well-groomed user stories with defined acceptance criteria; lead sprint planning, estimation, retrospectives, and scrum-of-scrums ceremonies Work closely with engineering … business AI Enablement Ensure the Knowledge Repository provides structured, confidence-scored, and permission-aware knowledge to enterprise AI tools and platforms via APIs and MCP interfaces Collaborate with AI and data science teams to ensure knowledge assets are machine-interpretable — linking structured enterprise data with unstructured business content across ...

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 ...

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 ...

IndyKite is a pioneer in data trust and AI enablement, building the trust and decision layer for enterprise agentic AI. Powered by a live context graph, the IndyKite platform brings deep contextual intelligence, identity-centric security, and fine-grained authorization to enterprise data - enabling organizations to deploy … Have: AI Skills: Experience developing AI agents using Python LLM & AI Standards: Familiarity with LLM integration patterns (e.g., RAG) and emerging standards like MCP for data connectivity and A2A for multi-agent orchestration Why IndyKite? Category Creation: The chance to define and build a brand-new market category from ...

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 ...

internal tools, and integrations using platforms such as Gumloop, Claude, Workato, Retool, APIs, and lightweight code. Connect workflows with the systems, data, and organizational context they need, including Salesforce, Marketo, data warehouses, and internal knowledge resources. Develop successful prototypes into dependable, reusable systems with appropriate controls, documentation, and measurement. … role. Must be willing and able to commute 5 days in office. Additional Experience That May Be HelpfulExperience with tools such as Gumloop, Claude, MCP servers, Workato, Retool, n8n, Zapier, SQL, Python, or TypeScript. Experience developing or maintaining reusable prompts, agents, templates, or AI-enabled workflows. UK Employee BenefitsVerkada ...

internal tools, and integrations using platforms such as Gumloop, Claude, Workato, Retool, APIs, and lightweight code. Connect workflows with the systems, data, and organizational context they need, including Salesforce, Marketo, data warehouses, and internal knowledge resources. Develop successful prototypes into dependable, reusable systems with appropriate controls, documentation, and measurement. … role. Must be willing and able to commute 5 days in office. Additional Experience That May Be HelpfulExperience with tools such as Gumloop, Claude, MCP servers, Workato, Retool, n8n, Zapier, SQL, Python, or TypeScript. Experience developing or maintaining reusable prompts, agents, templates, or AI-enabled workflows. UK Employee BenefitsVerkada ...

proof-of-value demos (target: under two weeks) with AEs/SEs to accelerate buying decisions Fluent in headless architecture and AI-driven agents (MCP, A2A) - always applied through a data-first lens Long-term trusted advisor to strategic accounts, beyond any single deal 3. Reference Architecture & Technical GTM Build … Data Platforms: Cloud DWH/DL (GCP, Snowflake, Databricks, AWS, Azure), ingestion pipelines, data modelling, governance AI & Agentic: GenAI, RAG, vector stores, agent lifecycle, MCP/A2A interoperability Salesforce Platform: Data 360, Agentforce, Agent Builder - deep architectural fluency Integration/BI: MuleSoft, hyperscaler SDKs, Tableau/PowerBI/Looker familiarity ...

workflow, and the moments that earn trust. Work at the frontier of the stack: reason with Engineering about models, context, tools like MCP, and orchestration, and where each one changes the product. Accelerate your own output with AI: use AI tools actively across research, synthesis, prototyping, and analysis, always … grown products people love. Real fluency with how modern AI products work. You are familiar with evals, agentic workflows, context, and tools like MCP, and you have clear judgment about where AI earns its place and where it does not. A systems thinker. You see how the pieces ...

workflow, and the moments that earn trust. Work at the frontier of the stack: reason with Engineering about models, context, tools like MCP, and orchestration, and where each one changes the product. Accelerate your own output with AI: use AI tools actively across research, synthesis, prototyping, and analysis, always … grown products people love. Real fluency with how modern AI products work. You are familiar with evals, agentic workflows, context, and tools like MCP, and you have clear judgment about where AI earns its place and where it does not. A systems thinker. You see how the pieces ...

actually be doing? Use AI coding agents to investigate, refactor and modernise legacy codebases Design the "engineering harness" that gives AI agents the right context … rules and constraints to work effectively Build repository-level instructions, agent skills, prompts and dynamic context Work with technologies such as Claude Code, MCP and other agentic development tools Establish automated testing and AI evaluation frameworks (evals) to make sure speed doesn't come at the expense of quality ...

hybrid leadership role. The successful candidate will lead a small senior team of data scientists and quantitative developers while remaining hands on in model design, code review and client facing technical work. Reporting directly to the Chief Product Officer, the role sits at the centre of product strategy … role has global reach. Models and infrastructure built by this team will underpin analytic, data and content products delivered to enterprise clients through API, MCP, feed and web channels. How You’ll Make an Impact: Quantitative Strategy and Model Development Set the quantitative agenda for Fitch Solutions: define which ...

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 ...

building agents and naturally curious; what matters most is capability in adjacent disciplines such as AI agent orchestration, LLM governance and guardrails, and MCP and A2A, plus the aptitude to build Agent Fabric expertise on the job. MuleSoft's integration and API backbone gives agents the trusted context … bring demonstrated hands-on depth in a related discipline — Agentic technical capabilities such as AI agent orchestration, LLM governance/guardrails or MCP and A2A — with the technical aptitude to ramp quickly into MuleSoft's Agent Fabric. We're hiring for transferable technical depth and fast ramp-up. Customer-First ...