101 to 125 of 253 Model Context Protocol Jobs

from monolithic to microservice architectures Experience deploying or governing enterprise AI tooling (Claude Enterprise, Copilot, or similar), particularly around secure rollout, usage policies, and MCP integrations What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity ...

Javascript, Typescript, React, Redux, Java Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining CI/CD pipelines Proven experience of source and version control tools such as GitHub Be experienced ...

intelligent document management system with additional AI‐powered features with intuitive human‐centred UX Integrate our firmwide AI Assistant with internal data sources using MCP Attributes for success Engineering mindset focused on delivering practical solutions that solve real business problems Self‐directed and comfortable working autonomously with minimal supervision Pragmatic ...

vendor. Experience shipping software via marketplaces (Atlassian Marketplace, monday.com Apps, and similar). Hands‐on with agentic development tooling beyond chat (Claude Code, Cursor, MCP‐based workflows, and the like). Experience taking AI features to production at scale: evaluation, cost control, latency, safety. Why us? Backed by 20+ years ...

data grounding Architect reusable AI design patterns including human‐in‐the‐loop workflows and multi‐agent coordination models Apply agent integration and communication standards (MCP, A2A, OpenAPI, REST, gRPC) Lead technical delivery of AI projects, managing timelines, dependencies, and stakeholder expectations Ensure delivery adheres to AI governance, data privacy … model evaluation approaches Hands‐on experience with multi‐agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) Familiarity with orchestration protocols such as MCP, A2A, and OpenAPI‐based integration Strong Python development skills and knowledge of CI/CD, DevOps, and cloud‐native architectures Practical experience with Azure (Azure OpenAI ...

/CD, build systems, artifact repositories, cloud‐native technologies, or software supply chain security; Hands‐on experience with AI Agents, RAG, tool use, MCP/Skills, AI evaluation, or AI observability; Experience with large‐scale distributed systems, globally distributed multi‐region systems, or infrastructure for AI training and inference ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity We recognize that our people are our strength and the diverse talents they bring to our global workforce ...

architectures Strong understanding of distributed systems, service‐to‐service communication, API Gateways, Kubernetes, cloud‐native architectures Hands‐on experience working with emerging agentic protocols (MCP, A2A) and interoperability patterns Proven ability to work cross‐functionally with engineering, security, product, and platform organizations Excellent communication and storytelling skills, with the ability ...

least one of Financial Services, Energy, or Healthcare - enough to be a credible peer, not just a technology generalist Nice to Have Experience with MCP server development, Claude Code enterprise deployment, or AI agent integration into development workflows Track record of defining engineering best practice or developer experience within ...

design and coordinate effective test strategies. Design, develop, execute, and maintain automated and functional tests within CI/CD pipelines. Leverage AI tools (e.g., MCP, Copilot, ChatGPT) to optimise testing efficiency and workflows. Develop and maintain scalable, self-healing automation frameworks (e.g., Playwright). Integrate AI-driven tooling into automation ...

Grid and Integration On-Premises and SaaS Thoughtful leadership in AI to incorporate more efficient ways of working using GenAI and Agentic Agents using MCP and A2A. Working knowledge and experience in Azure DevOps and CICD to deploy Azure Integration services Architectural knowledge with good understanding of Integration Patterns, Hybrid ...

LLMs for predictive insights and adaptive remediation. Experience architecting agentic infrastructures, including observability pipelines and experimentation frameworks for AI agents. Familiarity with MCP and A2A orchestration patterns running on Kubernetes, enabling agents to communicate through secure service meshes. Working knowledge of Agent Gateways and Registries, bridging microservices and AI agents ...

world datasets. IDE automation and AI tooling (Cursor, Claude, Copilot, Vertex, Gemini, etc.), LLM integrations applied to data and BigQuery, and Agentic AI/MCP experience. 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your ...

Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities … Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties ...

solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost Experience deploying AI solutions into production with focus on cost … evaluating multi‐agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness Confidence contributing to pre‐sales while also being able ...

backend architecture Event-driven systems Developer platforms Production AI infrastructure Experience with technologies such as OpenAI, Anthropic, LangGraph, LangChain, Kubernetes, Kafka, Vector Databases, RAG, MCP, Temporal or similar would be highly advantageous. Ideal backgrounds Current or previous: Chief Technology Officer Founding CTO Technical Co-Founder VP Engineering Head of Engineering ...

Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

problems. Responsibilities Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company’s AI products and customer’s live ...

problems. Responsibilities Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer’s live infrastructure ...

guide and review AI‐generated code with confidence. Hands‐on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup ...

call rota as required Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining CI/CD pipelines Proven experience of source and version control tools such as GitHub Be experienced working ...

lead developer embedded within customer accounts, for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build ...

helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team … tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team ...

data modelling instincts — comfortable in data-heavy B2B products ✅ Bonus: experience with agentic/LLM-powered products, tool use, evals, guardrails ✅ Bonus: API integrations (MCP, webhooks, OAuth) + cloud deployment (AWS) Direct AI/ML experience isn't a hard requirement — strong product engineering judgment matters more. ...

polyglot codebase Fluent or willing to learn Go Hands-on experience building and operating production AI applications using LLMs and agentic frameworks (e.g., RAG, MCP, LangGraph or similar), including tool integration, prompt design, evaluation, guardrails, and token/cost optimization. Demonstrate ability to create reliable agents (prompting, evaluation, guardrails, understanding ...