13 of 13 Remote/Hybrid Model Context Protocol Jobs

leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity with trading platforms or fund admin ...

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 ...

Agentic AI Engineer, Agentic AI Developer, Python Fluency with modern ML toolchains (PyTorch/JAX, RL or behaviour-cloning libraries, agentic frameworks, MCP, distributed training workflows). Experience with AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel. Solid software-engineering fundamentals - tested, documented, maintainable Python ...

Lambda, Bedrock Knowledge Bases, and OpenSearch Implement policy-driven development and consistent guardrails across the GenAI stack Design and build LLM Gateway and MCP Gateway capabilities Introduce robust logging and audit capabilities with data captured into S3 Improve state management, monitoring, and performance visibility across the platform Work closely with ...

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/ ...

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 ...

week remote) Contract Job Description : Backend Based: Strong Python any framework, strong backend, Postgress, Agile, need to have AI experience, ChatGPT, Strong in MCP, FastAPI ...

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 ...

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 ...