12 Mcp Protocol Jobs

AI Agentic Platform Engineer with LangChain,LangGraph, LangSmith We’re seeking seasoned engineers to build production-grade multi-agent AI platforms and capabilities. This role emphasizes deep hands-on experience with LangChain, LangGraph, and LangSmith, agent-to-agent orchestration, and foundational AI platform architecture with integrated intelligence layers and AWS services (including AWS Bedrock and Agentic AI). What you’ll do Implement, and operate multi-agent AI workflows using LangChain and LangGraph (stateful graphs, event-driven nodes, tool routing, memory, retries, and guardrails). Design and build foundational AI platform capabilities with integrated intelligence layers (reasoning...

As an AI Engineering Manager in Ford's Supply Chain Analytics Team, you will lead a small team and collaborate with experts globally to implement Agentic AI solutions. Your role will involve working on various products that leverage MCP to solve Supply Chain Problems across Ford globally. **Key Responsibilities:** - Design NLP/LLM/GenAI applications/products following robust coding practices. - Design Agentic AI Systems leveraging MCP protocol (or Google ADK). - Explore state-of-the-art models/techniques for automotive industry use cases. - Conduct ML experiments to train/infer models within memory & latency restrictions. - Deploy REST APIs or a minimalistic UI for NLP applications using Doc...

Job Description Job Title: AI Engineer Agentic AI Location: Anywhere Urgency: Immediate Joiners Preferred About The Role Seeking a highly skilled AI Engineer to support its strategic initiatives around modernizing the data platform and enabling business outcomes through Cortex AI applications. The ideal candidate will have deep expertise in Agentic AI frameworks and hands-on experience in building scalable, real-world AI solutions. Key Responsibilities Design and develop knowledge bases tailored for Agentic AI solutions. Implement optimal ingestion mechanisms aligned with semantic search and Retrieval-Augmented Generation (RAG) goals using vector databases. Apply prompt engineering technique...

Role Overview: You will be joining Ford's Supply Chain Analytics Team as an AI Engineering Manager with expertise in NLP/LLM/GenAI. In this role, you will be hands-on in employing various NLP/Prompt engineering techniques to design and develop Agentic AI solutions for Supply Chain Problems across Ford globally. You will lead a small team and collaborate with technical experts worldwide to implement cutting-edge AI solutions. Key Responsibilities: - Design NLP/LLM/GenAI applications/products incorporating robust coding practices - Design Agentic AI Systems leveraging MCP protocol (or Google ADK) - Explore state-of-the-art models and techniques for automotive industry use cases - Conduct ML ex...

As a Snowflake Data Engineering professional, you will play a crucial role in designing and developing knowledge bases tailored for Agentic AI solutions. Your responsibilities will include implementing optimal ingestion mechanisms aligned with semantic search and Retrieval-Augmented Generation (RAG) goals using vector databases. You will be expected to apply prompt engineering techniques and utilize prompt libraries to enhance agent performance. Additionally, orchestrating multi-agent systems using MCP protocol and related frameworks will be a key aspect of your role. Collaboration with cross-functional teams to integrate ML Ops best practices like feature stores, feedback loops, and continu...

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what's now to what's next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. Job Title: Snowflake Data Engineering Location: Pune, Bangalore, Hyderabad, Chennai(Hybrid) Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. JD; Key Responsibilities: Design and develop knowledge bases tailored for Agentic AI solutions. Implement optimal ingestion mechanisms aligned with semantic search and ...

Job Title: AI Innovation Architect Job Summary We are seeking a visionary and hands-on AI Innovation Architect with a strong background in software engineering, cloud platforms, and Generative AI. The ideal candidate will have 10+ years of experience in designing and delivering enterprise-grade solutions, with deep expertise in LLM integration , MCP protocol , RAG architecture , and AI-driven application design . This role is pivotal in shaping the architecture and technical direction of AI-powered products and platforms, collaborating across engineering, product, and business teams to drive innovation and value. Key Responsibilities Architect and lead the development of scalable, secure, an...

Short Description: You'll be working alongside leading technical experts from all around the world, on a variety of products involving Agentic AI solutions leveraging MCP to solve Supply Chain Problems across Ford Globally. Description Background : Fords Supply Chain Analytics Team is looking for an AI Engineering Manager experienced in NLP/LLM/GenAI, who is hands-on and can employ many NLP/Prompt engineering techniques from traditional statistical/ML NLP to DL-based sequence models and transformers in their day-to-day work. AI Technical Manager will lead a small team as well as consult across the Supply Chain Analytics Team to support the implementation of Agentic AI solutions. Responsibili...

You are an exceptional Senior TypeScript/Node.js Developer who will lead the development team for an enterprise-grade AI orchestration platform. This critical leadership role requires deep technical expertise in modern TypeScript/Node.js development, distributed systems architecture, and AI agent coordination systems. The advanced AI orchestration platform seamlessly integrates multi-agent coordination with neural pattern recognition and MCP tools for end-to-end AI workflows. Featuring a dynamic agent architecture with self-organizing agents, it delivers enterprise-grade scalability and performance. Your responsibilities will include leading the design and implementation of scalable, distrib...

Position Overview We are seeking an exceptional Senior TypeScript/Node.js Developer to lead the development team for an enterprise-grade AI orchestration platform . This critical leadership role requires deep expertise in modern TypeScript/Node.js development, distributed systems architecture, and AI agent coordination systems (CLI Server application). The platform is designed to seamlessly integrate multi-agent coordination, neural pattern recognition, and MCP tools for end-to-end AI workflows. Featuring a dynamic agent architecture with self-organizing agents, it delivers enterprise-grade scalability and performance . Technical Requirements Programming Languages & Frameworks TypeScript : E...

Position Overview We are seeking an exceptional Senior TypeScript/Node.js Developer to lead the development team for an enterprise-grade AI orchestration platform. This is a critical leadership role that requires deep technical expertise in modern TypeScript/Node.js development, distributed systems architecture, and AI agent coordination systems. An advanced AI orchestration platform designed to seamlessly integrate multi-agent coordination with neural pattern recognition and MCP tools for end-to-end AI workflows. Featuring a dynamic agent architecture with self-organizing agents, it delivers enterprise-grade scalability and performance. Technical Requirements Programming Languages & Framewo...

Position Overview We are seeking an exceptional Senior TypeScript/Node.js Developer to lead the development team for an enterprise-grade AI orchestration platform. This is a critical leadership role that requires deep technical expertise in modern TypeScript/Node.js development, distributed systems architecture, and AI agent coordination systems. An advanced AI orchestration platform designed to seamlessly integrate multi-agent coordination with neural pattern recognition and MCP tools for end-to-end AI workflows. Featuring a dynamic agent architecture with self-organizing agents, it delivers enterprise-grade scalability and performance. Technical Requirements Programming Languages & Framewo...