Join a small team in Munich to build AI agent systems that enhance manufacturing data management.
Posted by employer 1 month ago
First seen on Joblaze 5 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We build agentic applications that reason and act across manufacturing data.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of AI Agent Engineer at Manex AI, the individual will focus on developing the AI agent stack, including workflows, memory management, and execution environments. Proficiency in Python or TypeScript is essential, along with experience in agent workflows and context management. This position is ideal for someone with a background in building AI agents or a strong desire to learn, particularly suited for engineers looking to make a significant impact in a collaborative, fast-paced environment. Manex AI's small team emphasizes ownership and quality, working closely with both founders and customers.
Joblaze insights
Quick facts
From the original posting
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 the tools, skills, and subagents, plus the MCP infrastructure that connects them. 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.
Have built AI agents or are eager to learn
Bring experience with agent workflows, tools, skills and subagents
Are interested in MCP, context and memory management at scale
Build secure, sandboxed execution environments
Care about evaluation, observability, safety, and reliability
Write maintainable Python or TypeScript
MCP servers and clients
Tool design and multi-agent orchestration
Containers, code execution, and sandboxing
Agent evaluation, tracing, observability (e.g., Langfuse) and guardrails
Retrieval, memory, and prompt engineering
LLM APIs, open-source models and proxies (e.g., LiteLLM, OpenRouter)
A cooperative team where you own your work, but never solve hard problems alone
Competitive salary and equity
High trust and ownership from day one
Corporate Wellpass membership, subsidized public transport
Regular offsites with the greatest team - think austrian mountains, lakeside retreats, or european cities
Relocation support, incl. corporate housing offers
Are you willing to start contributing to European autonomy at scale? Apply now!