1 to 25 of 29 Permanent Model Context Protocol Jobs in Scotland

systems on Amazon Bedrock, including multi-agent orchestration, memory management, and tool integration using Amazon Bedrock AgentCore and Strands Agents Build, integrate, and maintain MCP (Model Context Protocol) servers that expose capabilities to AI agents across client platforms Architect and implement RAG pipelines using Amazon Bedrock Knowledge … environments, not limited to basic API calls Agentic AI and multi-agent systems — direct experience designing and deploying agent pipelines with real orchestration complexity MCP (Model Context Protocol) — built or integrated MCP servers in a production or near-production context Strands Agents — familiarity with the framework ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings ...

values modern AI engineering workflows and tooling such as GitHub Copilot and Claude Code to accelerate delivery while maintaining quality and security. Familiarity with MCP (Model Context Protocol), Agent Skills and designing agentic systems that integrate models with tools and enterprise data via structured interfaces … related field. Hands-on experience building applied AI/ML or GenAI solutions (e.g., RAG, classification, extraction, ranking, summarization, copilots). Familiarity with MCP (Model Context Protocol), Agent Skills and architectures that connect models to tools/data through standardized interfaces. Familiarity with LLM application patterns: embeddings ...

including: Azure AI Foundry Azure API Management (APIM) Azure Kubernetes Service (AKS) Azure Container Apps Azure AI Search Model Context Protocol (MCP) services and supporting infrastructure Establish and maintain platform standards, guardrails, policies and onboarding requirements. Review technical and solution designs, providing guidance to ensure alignment with … Azure AI Search GitHub Enterprise CI/CD tooling and automated delivery pipelines Infrastructure as Code Platform observability and monitoring Identity and Access Management Model Context Protocol services Agentic architecture and engineering patterns Typical Candidate Background: Platform Engineer Cloud Platform Engineer DevOps Engineer Site Reliability Engineer Platform ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Senior Lead Software Engineer at JPMorganChase within the Corporate Technology Data and Analytics Services team, you will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will … knowledge into a knowledge graph and vector store Build and evolve the serving layer — including graph and vector retrieval, GraphRAG, response assembly, and a Model Context Protocol endpoint consumed by downstream agents Extract and promote reusable components into a shared core library, reducing duplication across the platform ...

Experience with agentic AI frameworks - multi-agent orchestration, planning and tool use, and integration patterns such as the Model Context Protocol (MCP); familiarity with Google ADK, Arize Phoenix SDK, Claude skills is a must. Overall knowledge of the Software Development Life Cycle, and a solid understanding … anomaly-detection approaches such as Isolation Forest, Local Outlier Factor, and locality-sensitive hashing. Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Applied NLP experience - text-to-SQL/natural-language query, entity ...

knowledge of LLM application patterns - prompt design, retrieval-augmented generation (RAG), embeddings and vector search, structured output, and tool/function calling. Familiarity with MCP (Model Context Protocol), Agent to Agent(A2A) Agent Skills and architectures that connect models to tools/data through standardized interfaces. Overall … evaluation frameworks and approaches (golden datasets, LLM-as-judge, human-in-the-loop review, red teaming).Solid grounding in data pre-processing, feature engineering, model selection, hyper-parameter tuning, and evaluation, including choosing appropriate metrics for imbalanced and unlabeled problems. Experience with AWS Bedrock, SageMaker (or equivalent managed ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands‐on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ADK and Anthropic SDKs. Required Qualifications, Capabilities, and Skills: Formal training or certification on software engineering concepts. Hands … with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands-on experience building AI agents and MCP servers/integrations at scale using frameworks such as Google ADK, Anthropic SDKs, and agent orchestration tooling. Experience enhancing AI-powered coding ecosystems with enterprise ...

task unsupervised. A private repository or a work project you can describe in detail counts. You are fluent with tool calling, structured output, the Model Context Protocol, and at least one agent framework or SDK (LangGraph, CrewAI, the OpenAI or Claude Agent SDKs, PydanticAI, or a hand ...

RBAC and Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.* Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.## **WHAT YOU'LL LOVE ...

/CD, and Infrastructure as Code. Experience with MLOps, LLMOps, observability, monitoring, and production support. Hands-on experience with agentic AI, multi-agent systems, MCP, A2A, or similar orchestration frameworks. Experience working within enterprise environments where integration with existing systems is critical. This is an excellent opportunity for a Staff ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

agentic company. Most of our day-to-day building runs through coding agents — Claude Code is our daily driver, and we use Cursor, Codex, MCP, and whatever else is good in the week we’re in. We work by talking through a problem, narrowing into a tight spec with ...

layer — the protocols and flows that determine how every Grafana user proves who they are. We actively implement cutting-edge authentication protocols such as MCP OAuth (OAuth 2.1), OIDC, SAML, LDAP, and SCIM, rather than relying on off-the-shelf components. We are completely redesigning Grafana’s authentication ...

with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver production systems. Experience … Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. Experience with MLOps practices including model deployment, monitoring, evaluation, and CI/CD pipelines with delivering AI solutions from concept to production. Some other highly valued skills may include: Excellent communication ...

agent can use?" before asking "does this data exist?". As that foundation takes shape, your scope expands naturally into Grip's MCP design, agentic workflows and AI system architecture. In your own workflow, agentic tooling is already the default. You use Claude Code, GitHub automations and agents to manage ...

expand into agentic solution delivery and broader business transformation. Our conviction is that engineers are uniquely positioned to lead this transformation. The strongest mental model for designing, deploying, and governing AI agents in production lives in software engineering. The teams that change how their organization builds software … assumptions, risks, milestones, and dependencies Embed with customer teams to co-build agentic applications on the Claude developer platform Build technical artifacts — evaluation frameworks, MCP servers, sub-agents, and deployment configurations — tailored to the customer's stack What Success Looks Like Customers move from proof-of-value to production Engineering ...

build reusable CI/CD templates, infrastructure patterns, and AI-native tooling for our central platform. You will develop Claude Code skills and MCP servers, implement golden path templates, and maintain asset distribution with strong security guardrails. You will work with federated platform teams to evolve patterns based on real ...

skills Proven delivery of LLM‐enabled applications using agentic patterns, including tool use, orchestration, guardrails, and structured outputs. Hands‐on experience building and operating MCP integrations reliably in production. Hands‐on experience on data‐driven software/systems engineering experience delivering production services in secure, regulated environments. Expertise in Python … shot prompting, tool/function calling, and schema‐constrained outputs (e.g., JSON Schema). Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering. Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques Experience building and scaling AI/ ...

skills Proven delivery of LLM-enabled applicationsusing agentic patterns, including tool use, orchestration, guardrails, and structured outputs. Hands-on experience building and operating MCP integrationsreliably in production. Hands-on experience on data-driven software/systems engineeringexperience delivering production services in secure, regulated environments. Expertise in Python engineeringskills, including production … shot prompting, tool/function calling, and schema-constrained outputs (e.g., JSON Schema). Understanding of agentic AI system layers and concepts, such as context management, harness design, and loop engineering. Experience building conversational AI solutions, including RAG, Agentic and Graph RAG techniques Experience building and scaling AI/ ...

automation Hands-on experience with Claude Code (or equivalent agentic CLI tooling - Cursor, Codex CLI, Cline, Aider): writing custom skills, building subagent systems, implementing MCP servers, and authoring AGENTS.md/CLAUDE.md context files Platform-as-a-product mindset: builds reusable assets with their consumers in mind, prioritises discoverability … infrastructure patterns that form the core of the central platform's offering Develop Claude Code (or equivalent agentic CLI tooling) skills, subagents, and MCP servers that become the standard AI tooling distributed to all client teams Implement golden path templates - project scaffolding, pipeline configuration, security guardrails, AI-native workflow defaults ...

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 database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation ...

similar) Hands‐on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing custom skills, building subagents, configuring MCP servers, and integrating AI tooling into development workflows Demonstrable experience with AI‐native development practices: prompt‐first development, AI pair programming, agent‐assisted code review Solid … tech debt reduction and pipeline modernisation within the engineering team’s production codebase during the early modernisation phase Author and maintain AGENTS.md and CLAUDE.md context files that capture product knowledge for LLM‐assisted development Inject centrally‐published platform assets (agents, templates, CI/CD patterns) into live repositories during ...