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Manex AI is seeking an AI Agent Engineer to build their AI agent stack, including tools, skills, subagents, and MCP infrastructure. This role involves end-to-end ownership of agentic systems, focusing on workflows, memory management, sandboxed execution, and observability. The ideal candidate will have experience building AI agents or a strong eagerness to learn, proficiency in Python or TypeScript, and an interest in secure, reliable, and observable agent systems. The company offers competitive compensation, equity, relocation support, and a collaborative team environment.
Manufacturing runs on fragmented data: machines, sensors, and decade-old systems that don't speak to each other. Data sits in departmental silos, knowledge lives in people's heads, and AI can not unfold its potential in point solutions that don’t deliver. At Manex AI, we build that missing layer with our platform: It handles manufacturing data at scale, models the factory ontology and builds agentic applications that reason and act across it.
We're a small team in Munich, backed by Lightspeed and BlueYard, with engineers from top companies. We ship fast, work close to the shop floor and we don't ship things we're not proud of.
You'll build our AI agent stack: From tools, skills and subagents to the MCP infrastructure they run on. The work spans agent workflows, memory and context management, sandboxed execution, and agent observability - you'll work where your skills count most. You own agentic systems end-to-end and work directly with founders and customers.
Are you willing to start contributing to European autonomy at scale? Apply now!