Are you excited about building AI systems that do things, not just answer questions? We are looking for Agentic Systems Engineers to design, build, and operate multi-agent pipelines that execute real business logic — from procurement workflows to supply chain intervention to autonomous reporting.
You should be comfortable building agent graphs with frameworks such as LangGraph, AutoGen, or CrewAI, implementing tool use and function calling with LLMs, and wiring agents into live enterprise data systems. Experience with the Agent-to-Agent (A2A) or Model Context Protocol (MCP) is a strong advantage. You should understand agent memory architectures, task decomposition, and failure handling in long-horizon autonomous workflows.
At Novnex we do not believe in degree of your qualification but focus on the degree of skills you bring to the table. We offer an open, politics-free environment that focuses only on learning and getting things done in the minimum time possible.
We are currently recruiting people with minimum 3 years of hands-on engineering experience, including at least 1 year working with LLM-based systems.
