Role description
AI Agent Developer (LangGraph and MCP) Remote (worldwide)Full-time0-2 years experience₹5 to ₹10 LPA Agents are the center of our newest courses and products. You will design multi-agent workflows with LangGraph, build MCP servers and tools, run local models with Ollama, and stress-test agent loops until they are reliable enough to teach from.
What you will do
• Design and build multi-agent workflows with LangGraph
• Develop MCP servers and custom tools for agents to use
• Run and evaluate local models with Ollama
• Add memory, planning, and error recovery to agent loops
• Build demo agents that anchor our courses and videos

What we look for
• 0 to 2 years of experience; solid agent side projects count fully
• Solid Python, including async basics
• At least one working agent or tool-calling project you can walk us through
• Understanding of LLM APIs, prompting,



and structured outputs
• Patience for debugging long agent traces

Nice to have
• Familiarity with our LangGraph, MCP, or agent courses
• Open-source contributions to agent tooling
• Experience with browser or computer-use agents

Skills
PythonLangGraphMCPOllamaTool callingMulti-agent systems Applications are closed
We have paused hiring, so we are not accepting applications for this role at the moment and resumes sent by email will not be reviewed. This page stays up so you can see what the role involves and what we look for. The application form returns here when hiring reopens.
In the meantime, our free AI and ML tutorials cover most of the skills listed here.
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