26 to 46 of 46 Permanent Model Context Protocol Jobs

. Cloud-native architectures, including Kubernetes, serverless, and Infrastructure as Code. Data mesh or decentralised data architecture implementations. Model Context Protocol (MCP) for data assets. Open-source contributions or active participation in the data engineering community. ...

quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated ...

analyse and document requirements Developing Multi Agent Solutions, Copilot Studio (PVA), Canvas apps, Cloud Flows, Desktop Flows, Dataverse artefacts, AI Builder, Business Process Flows, Model Driven Apps, Power Pages Engaging directly with teams within the client and Avanade environments to share your knowledge and upskill them Staying … working with Copilot Studio/Power Virtual Agents Expertise in Power Automate Flows (both desktop and cloud) and Computer Use Expertise in Canvas and Model-driven App development Experience in working with Dataverse Tables and data formats such as XML and JSON Competent understanding of Microsoft 365 including M365 ...

Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine … complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity ...

Requirements Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc. Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine … complex systems in rapid and ambiguous environments Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks Understand how AI model behaviour affects product experience Communicate clearly with engineers, product teams, and customer stakeholders Flag risks early and seek attention as per the severity ...

C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework, design patterns. Experience using modern ...

join our early stage SaaS startup. The successful candidate will play a pivotal role in developing and enhancing our innovative AI solutions; leveraging RAG, MCP, vector databases, LLMs, etc. This is a permanent, full-time position. You will be part of a collaborative team that is driving the future ...

deep understanding of the e-commerce landscape and its underlying technologies. Knowledge of AI Agentic Infrastructure, including Agent Orchestration Layers and integration protocols like MCP and ACP. Familiarity with the cloud environment, DevOps tools and observability for monitoring and optimizing agent performance. An understanding of customer data, databases, and data ...

deployments. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. Expertise in applying prompt engineering techniques to improve model performance and reliability. Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices. Familiarity with Microsoft GenAI/Agentic AI ecosystem such … GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow. You are familiar with core agent communication protocols, including MCP or A2A. You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks. You are Microsoft Certified ...

machines, and Azure Foundry. Working knowledge of C#, .NET, Docker, and Kubernetes . Ability to research, evaluate, and implement cutting-edge AI frameworks (e.g., MCP). Desirable: Experience with end-to-end deployment of GenAI orchestration and associated services. Experience creating, monitoring, and troubleshooting APIs. Knowledge of traceability, auditability ...

technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This … Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone/ChromaDB/Weaviate/pgvector/etc), search engines such as ElasticSearch/ ...

technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions. This … Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone/ChromaDB/Weaviate/pgvector/etc), search engines such as ElasticSearch/ ...

Requirements: Advanced proficiency in Machine Learning and Data Science. Intermediate proficiency in Amazon Sagemaker. Experience with Retrieval-Augmented Generation, Software Development Life Cycle, and Model Context Protocol. Strong problem-solving skills and the ability to contribute to key decisions. Ability to work effectively with cross-functional teams ...

offs and opportunities. Metrics & Dashboards: Define, track, and evolve product KPIs (X, Y, Z); build dashboards in Lightdash to democratize access, and manage the MCP for effective Agent Use. Cross-Functional Partner: Translate analysis into product and growth strategies; influence roadmaps with data-driven recommendations. Qualifications 3+ years of professional ...

offs and opportunities. Metrics & Dashboards: Define, track, and evolve product KPIs (X, Y, Z); build dashboards in Lightdash to democratize access, and manage the MCP for effective Agent Use. Cross-Functional Partner: Translate analysis into product and growth strategies; influence roadmaps with data-driven recommendations. Qualifications 3+ years of professional ...

esp. Power Apps, Power Automate, Power BI). Experience supporting a multi-office or hybrid workforce. Desirable ICT-specific Degree/relevant qualifications (e.g., MCP, CCNA) Experience in the planning, environmental, engineering or design sectors. Familiarity with ChatGPT Business/Enterprise, Copilot Studio or custom AI agents. Understanding of data ...

data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built for modern data teams who want analytics ...

data teams to use AI to create, update, and maintain analytics using code. With native dbt integration, a governed semantic layer, and the Lightdash MCP server, teams can build entire BI layers from their terminal, IDE, or CI workflows. Lightdash is built for modern data teams who want analytics ...

modelling, texturing, animation) Familiarity with AWS services Experience with Perforce or similar version control Experience with AI-assisted development workflows for Unreal Engine (e.g. MCP integrations, automated code generation) A genuine understanding of behavioural psychology or psychometrics - the product is built around revealing how people think and behave, so this ...

foundation for broader engineering teams. Ensure scalability, extensibility, and long-term maintainability. Lead Orchestration & Routing Strategy Define the technical vision for orchestration services, model routing (edge-to-cloud), and multi-agent coordination. Make architectural decisions balancing latency, cost, capability, and reliability. Design robust fallback and routing mechanisms for heterogeneous … search, and edge-cloud orchestration. Ability to independently make architectural decisions and clearly articulate trade-offs. Bonus Skills Experience with agent communication protocols (e.g., MCP or equivalent). Background in edge/on-device deployment with memory and latency constraints. Contributions to open-source agent frameworks. Experience operating ML platforms ...

services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools & Stack Backend/… similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours Communicates clearly with technical and non-technical ...