14 of 14 Model Context Protocol Jobs in the West Midlands

LLMs, agentic AI and generative AI services. Select and integrate appropriate AI frameworks and tools (e.g. LangChain, Semantic Kernel, Llama, vector-based search, MCP/Model Context Protocol) into the enterprise architecture. Design and implement RAG (Retrieval-Augmented Generation) architectures, including data ingestion, vector stores, and knowledge … Desirable Skills: Experience with LangChain, Semantic Kernel, Llama and related frameworks for building LLM-based applications. Familiarity with Model Context Protocol (MCP) and emerging standards for AI orchestration and context management. Experience designing and implementing RAG architectures in enterprise environments. Background in cloud platforms (e.g. ...

language for enterprise microservice integration. Hands-on experience with vector databases and semantic search pipeline design. Experience with Model Context Protocol (MCP). Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context. Demonstrated ...

Java, Python, Node.js, or equivalent languages. Integrate backend APIs with web/UI applications, ensuring seamless end-to-end functionality. Configure, deploy, and manage MCP servers to enable AI agents and tools to interact securely with enterprise data sources. Implement authentication and authorization mechanisms (OAuth 2.0, JWT, API keys … experience in designing and implementing RESTful APIs and integrating them with UI applications. Mandatory hands-on knowledge of Model Context Protocol (MCP) servers. Proficiency in at least one programming language (Python, Java, JavaScript/TypeScript, or Node.js). Solid understanding of JSON, HTTP/HTTPS, REST, OAuth ...

also have the opportunity to contribute, alongside our Senior Platform Engineers, to how we use AI-driven automation, Model Context Protocol (MCP) integrations and agentic workflows across the platform. Performance & Observability Own day-to-day use of Datadog across our platform, using APM, distributed tracing, logs … Vitals) Experience defining SLOs, SLIs and error budgets Experience with AI/ML tooling and patterns, including LLMs, AI-assisted development, or building MCP integrations that connect AI agents to observability tools Experience supporting microservices architectures in a multi-tenant SaaS environment Familiarity with ArgoCD, GitLab CI, Helm or Kustomize ...

Solutions will frequently make heavy use of AI: prototyping with AI coding tools, and building solutions that themselves incorporate AI agents, LLMs, models, and MCP services. The Creative Technologist is expected to stay at the leading edge of these tools and techniques, and to bring a strong point of view … rapidly build demonstrable prototypes. Large Language Models (LLMs) and hosted/served models as building blocks within solutions. AI agents and agentic workflows. MCP (Model Context Protocol) services to expose data and capabilities to AI systems. Prompt design and an understanding of how to get reliable, high ...

automated testing experience Experience with Docker, Kubernetes or Azure Container Apps An understanding of production monitoring, reliability and observability Experience with MCP or similar integration patterns, AI governance, prompt evaluation/versioning, event-driven systems or highly regulated environments would be particularly valuable. Why join? This is an opportunity ...

from a Financial Services background. Responsibilities but not limited to; Develop and support AI agent components, orchestration logic and workflow automation. Build and maintain MCP servers enabling secure access to enterprise data sources. Develop, review and troubleshoot high-quality Python production code. Build retrieval pipelines for enterprise content with traceable … large structured datasets. Sound judgement when using AI-assisted development tools , including validation of outputs for correctness, performance, security and data sensitivity. Experience with MCP servers , agent orchestration, task queues, Databricks, OpenTelemetry or AG-UI . Deliverables: Responsibilities but not limited to: Deliver a secure, scalable copilot capability that orchestrates ...

online inference for those modelsOwn answer quality as an engineering discipline Compose multi-agent workflows using A2A, and integrate tools and data through MCP servers (CRM, client and product reference data, document stores, calendar and email, Databricks, Snowflake, Kubernetes, Confluence, Bitbucket, Splunk). Build and run evals: task-level … . Experience developing batch and real-time inference pipelines. Knowledge of vector search, retrieval optimisation and AI evaluation frameworks. Experience of Graph RAG and MCP integrations. Familiarity with Kubernetes, Snowflake and enterprise data integrations . Strong understanding of security, observability and AI governance principles. Excellent stakeholder management and communication skills ...

creative software designer to shape problems, wireframes, and user journeys. You will work autonomously on prototypes over focused weeks, integrating AI agents, LLMs and MCP services, and presenting tangible demos to clients. #J-18808-Ljbffr ...

patterns and balancing functional and non-functional requirements. Work agentic-first in Cursor: break outcomes into bounded work, provide agents with clear specifications and context, supervise execution, review generated changes, and remain accountable for everything that ships. Apply spec-driven development so requirements, constraints, acceptance criteria, and technical decisions … reviewed specification through planned tasks, implementation, verification, and review. Experience creating reusable agent skills, rules, context, or workflow automation, together with familiarity with MCP, tool calling, agent orchestration, evaluation, or observability. Experience with GCP, cloud‐native delivery, infrastructure as code, highly available systems, and retail or hospitality technology. ...

Netmiko, NAPALM, Nornir, Scrapli, ncclient), with structured parsing and test frameworks such as Cisco pyATS/Genie and TextFSM, plus Linux and shell scripting. Model‐driven programmability using NETCONF, RESTCONF and YANG data models, and streaming telemetry (gNMI). Vendor and controller APIs across the network estate, e.g. Cisco … Canvas, Agentic Workflows, Deep Network Model, Cloud Control Studio), ThousandEyes Agentic Actions, Splunk Agent Builder, unified Meraki and Catalyst Center management, and MCP servers. Experience with OT systems (especially utility) and OT/IT convergence patterns. Certifications such as CCNP or CCIE Automation (formerly Cisco DevNet), Red Hat Certified ...

with a CIO and with a principal engineer. Short, clear written English. Nice to have Energy, utilities or another regulated sector. Agentic AI design (MCP servers, agent harnesses, model gateways), AI governance or secure SDLC. Microsoft Entra, Azure or AWS; SAP or ServiceNow integration. #J-18808-Ljbffr ...

Must have - Amazon Bedrock AgentCore (Runtime, Identity, Gateway): deploying and securing MCP servers and agents Agent governance: AgentCore Registry, AgentCore Policy and Amazon Verified Permissions, including Cedar policy authoring Amazon API Gateway and AWS Lambda: API design, usage plans, API keys, throttling Containers: Docker, Amazon ECS on Fargate and Amazon … tracingIdentity and auth: Amazon Cognito (M2M client credentials, JWT), IAM/SigV4, OAuth/OIDC federation with Microsoft Entra ID Python, plus hands-on MCP server development (e.g. FastMCP) Infrastructure as code with CloudFormation, SLS , SAM or Terraforms AWS WAF, Private Link and Secrets Manager AWS Basic network components inside ...

builder with enterprise architecture instincts, credible with staff engineers and security architects, and comfortable owning ambiguity across APIs, AI Gateway, agents, MCP, identity and policy. This is not a demo-only SE role, and it's not a ticket-based implementation consultancy. You own technical success for strategic AI opportunities … What you'll do Lead AI, API and agentic technical discovery with customer platform, security and engineering teams. Design runtime architecture across models, APIs, MCP and tool access, identity and policy. Build prototypes, integrations, evaluation flows and reference implementations that prove Kong governs real production traffic. Remove blockers in pilot ...