1 to 25 of 38 Model Context Protocol Jobs in the South East

that make Menlo's AI-driven features possible. The role blends deep systems and networking engineering with hands-on work on AI agents and MCP (Model Context Protocol) servers, alongside the cloud infrastructure (AWS, GCP, Kubernetes, Terraform, Linux) that supports them. You'll work alongside engineers across … against MARS roadmap milestones. Performance and stability of shipped Chromium-based components (e.g., crash rate, latency). Reduction in manual toil via agent/MCP-based tooling adopted internally. Code review turnaround time and quality for C++ contributions. Successful integration of AI agents or MCP servers into internal workflows ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions … multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation ...

tools, retrieval systems and configurations for production use. Integrate AI systems with enterprise APIs, databases, applications and data platforms. Develop reusable connectors, APIs and Model Context Protocol tools. Build automated CI/CD, testing, configuration management and deployment workflows. Implement authentication, access control, secrets management, security … with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms, vector databases and LLM gateways. Experience implementing AI evaluation, observability, tracing and performance monitoring. Experience with ...

workflows, models, tools, retrieval systems and configurations for production use.Integrate AI systems with enterprise APIs, databases, applications and data platforms.Develop reusable connectors, APIs and Model Context Protocol tools.Build automated CI/CD, testing, configuration management and deployment workflows.Implement authentication, access control, secrets management, security and auditability.Establish monitoring … services.Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.Experience with LangGraph, AutoGen, smolagents or similar frameworks.Experience with Model Context Protocol, model-serving platforms, vector databases and LLM gateways.Experience implementing AI evaluation, observability, tracing and performance monitoring.Experience with high availability, autoscaling ...

optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from … translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within ...

Planning and Analysis (FP&A), Accounting, and leadership rely on to make critical decisions. You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our topline data chain, and you'll be the person the team counts on when something needs to be fixed before … Functions) or AWS; familiarity with auth patterns (JWT, OAuth) and CI/CD fundamentals Preferred: Experience with Model Context Protocol (MCP) or similar frameworks for connecting AI agents to structured data Preferred: Background in B2B SaaS metrics: ARR, gross revenue retention (GRR), net revenue retention (NRR), churn ...

services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing … application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear ...

machine learning to real business problems, ideally including agentic or LLM-based systems. Strong grasp of modern platforms: cataloguing and metadata, semantic and context layers, and data quality across structured and unstructured data. A track record of influencing senior business and technology stakeholders and translating between them. Systems … enterprise environment. Experience with vector databases (for example pgvector, Pinecone, Weaviate, or Chroma) and agent or orchestration frameworks (for example LangChain, LlamaIndex, or the Model Context Protocol). Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms ...

surface an agent is permitted to touch alongside what needs a human to sign it off, and giving scientists a way to describe a protocol and watch it run. A recurring theme is closing the loop, since assuming a command was obeyed is rarely good enough. Depending … Design data models and pipelines for experimental data, sample tracking, and provenance, so that results are traceable from raw instrument output back to the protocol and physical sample that produced them. Work directly with scientists to understand manual protocols, then translate them into automated workflows, iterating as the biologyand ...

framework.Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration.Knowledge of reinforcement learning, preference optimisation or sequential decision-making.Experience designing model evaluations and translating research ideas into reliable software.Desirable Experience developing multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks.Experience with LLM fine-tuning … GRPO, PPO, RLHF or RLAIF.Experience designing reward functions, graders or agent training environments.Experience with Model Context Protocol and tool integration.Experience deploying open-source language or vision-language models, including distributed training or GPU computing.Experience applying AI to scientific, engineering, energy or geoscience workflows.Why work with us Competitive ...

agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation or sequential decision‐making. Experience designing model evaluations and translating research ideas into reliable software. Desirable Experience Experience developing multi‐agent systems using LangGraph, AutoGen, smolagents or similar frameworks. Experience with … fine‐tuning, DPO, GRPO, PPO, RLHF or RLAIF. Experience designing reward functions, graders or agent training environments. Experience with Model Context Protocol and tool integration. Experience deploying open‐source language or vision‐language models, including distributed training or GPU computing. Experience applying AI to scientific, engineering, energy ...

problem-solving skills and the ability to work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications:Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases ...

problem-solving skills and the ability to work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases ...

integration into SOAR, case management, or analyst tooling.• Demonstrated track record shipping AI-augmented incident response capabilities in a large enterprise.• Working knowledge of MCP server architectures and emerging agentic frameworks for SOC use cases.• Deep expertise across the full IR lifecycle: triage, scoping, containment, eradication, recovery, evidence handling, post ...

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 ...

Cloud, or another cloud platform. Experience with Kubernetes, Docker, microservices, distributed data systems, or event-driven architectures. Exposure to generative AI, RAG, AI agents, MCP, or enterprise AI integrations. Experience supporting enterprise applications, scientific/research workloads, IoT systems, or internal platform services. What You’ll Bring 3+ years … device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/CD, containers, or cloud services. Bachelor’s degree in Computer Science , Engineering ...

Enable application delivery through GitOps workflows, CI/CD pipelines and Helm-based deployments. Contribute to platform tooling — including CLIs, Claude Code skills and MCP server integrations — to support AI-assisted developer workflows. Help teams adopt modern delivery practices through tooling, documentation and coaching. Contribute to the self-service deployment ...

/risk/audit experience Deep knowledge of GenAI and Agentic AI security risks Experience with AWS, Azure and/or GCP Exposure to MCP, A2A, AI tool integrations and threat modelling are strong advantageous Strong technology risk/internal audit background Certification such as CCSP, CCSK, AWS, CISA, CISSP ...

command of APIs, webhooks, and data structures (JSON, REST, GraphQL) — able to design and troubleshoot integrations confidently. Even better if you have experience with MCP Servers. Hands‐on experience with low‐code orchestration tools (Zapier, Make, n8n, Workato) and CRM automation (HubSpot, Salesforce). Proficiency in scripting (JavaScript and/ ...

technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business challenges into practical technical solutions. Using tools such … turn them into structured, scalable solutions. Microsoft AI experience Experience across the Microsoft AI ecosystem would be particularly valuable, including: Foundry Agents Cognitive Services MCP AI evaluation, testing and observability Previous experience working within a Microsoft Partner, consultancy, MSP or professional services environment would also be highly advantageous. Why this ...

design, development and deployment of AI-integrated applications using modern full-stack technologies. Build features powered by LLMs, agentic workflows, RAG patterns and MCP integrations. Work directly with customers to shape requirements and translate them into working software. Integrate Azure AI services such as Azure OpenAI, Cognitive Services, Azure … mentor others. Excellent communication and stakeholder management skills. Comfortable working autonomously and shaping ambiguity into structured delivery. Desirable Azure AI Engineer certification. Understanding of MCP, vector databases and AI evaluation/testing approaches. Experience mentoring or leading small development teams. Why Candidates Are Attracted to This Environment The organisation offers ...

powered features across the healthcare platform, building LLM, Generative AI, and Agentic AI solutions for production use. You will work on multi-agent workflows, MCP implementations, RAG, vector databases, and real-time AI pipelines, ensuring secure and scalable services. #J-18808-Ljbffr ...

quality of what is deliveredMentor engineers on craft, and develop their judgement about when and how to use AI toolingBuild and maintain the integrations, MCP builds, API connections and infrastructure that sit beneath and around our GenAI platformBuild systems, tools and solutions in an AI-native wayRepresent engineering credibly with ...

systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across the lifecycle … government or academia. Experience in regulated industries such as insurance, financial services, public sector or national‐scale infrastructure contexts. Familiarity with agentic systems design, MCP/A2A protocols, or inference‐time privacy controls. Familiarity innovating with agentic‐driven workflows and toolsets for both research and prototyping tasks, such as Claude ...