Senior AI Agent & MCP Developer

We are seeking an experienced AI Agent & MCP Developer to design, develop, and deploy enterprise-grade Agentic AI solutions using Large Language Models (LLMs), multi-agent architectures, and Model Context Protocol (MCP). The ideal candidate will have strong Python development skills and hands-on experience building intelligent AI agents, integrating enterprise applications, orchestrating workflows, and implementing secure, scalable AI solutions.

Roles & Responsibilities

• Design, develop, and deploy AI agents using LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, and other agent frameworks.
• Implement MCP servers and clients to enable secure integration between AI agents, enterprise tools, APIs, and data sources.
• Build multi-agent systems supporting planning, reasoning, task execution, memory management, and agent-to-agent (A2A) communication.
• Develop LLM-powered applications, conversational assistants, enterprise copilots, and AI-driven workflow automation solutions.
• Integrate AI agents with enterprise applications, Microsoft 365 services, databases, and third-party APIs.
• Implement retrieval-augmented generation (RAG), contextual reasoning, tool calling, and knowledge retrieval capabilities.
• Develop and maintain scalable backend services and APIs using Python and related technologies.
• Implement AI security, access controls, governance, responsible AI practices, and data protection mechanisms.
• Perform testing, debugging, performance optimization, deployment, and monitoring of AI applications.
• Collaborate with business stakeholders, architects, and engineering teams to deliver production-ready AI solutions.

Required Skills

• Minimum 7 years of relevant software development or AI engineering experience.
• Expert-level Python programming and experience developing production-grade applications.
• Strong hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Semantic Kernel, LlamaIndex, or Haystack.
• Practical experience with Model Context Protocol (MCP), including MCP servers, clients, tools, and integrations.
• Strong understanding of LLMs, agentic workflows, multi-agent architectures, tool calling, memory, and reasoning patterns.
• Experience with REST APIs, enterprise application integration, and A2A communication frameworks.
• Knowledge of AI governance, responsible AI, security, and enterprise data protection.
• Proficiency with Git/GitHub and software development best practices.
• Familiarity with Java, JavaScript, TypeScript, and the Microsoft 365 ecosystem.
• Bachelor's or master's degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Preferred Skills

• Experience with Microsoft Copilot Studio and enterprise AI copilots.
• Experience implementing RAG pipelines and vector databases.
• Knowledge of AI evaluation, observability, and production deployment.
• Experience integrating AI agents with enterprise systems and business workflows.