M

Senior AI Agent Engineer

manex ai Germany
Relocation
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AI Summary

Build and own the AI agent stack including tools, skills, subagents, and MCP infrastructure. Design agent workflows, memory management, sandboxed execution, and observability systems. Work directly with founders and customers on end-to-end agentic solutions.

Key Highlights
Own AI agentic systems end-to-end
Build MCP infrastructure and agent workflows
Implement secure sandboxed execution environments
Focus on observability, safety, and reliability
Key Responsibilities
Build AI agent stack including tools, skills, subagents, and MCP infrastructure
Design agent workflows, memory and context management
Implement sandboxed execution environments
Develop agent observability and evaluation systems
Work directly with founders and customers
Technical Skills Required
Python TypeScript MCP infrastructure
Benefits & Perks
Competitive salary and equity
Corporate Wellpass membership
Subsidized public transport
Nice to Have
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)

Job Description


Who We Are

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.

The role

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.

You should apply if you

  • Have built AI agents or are eager to learn
  • Own tools, skills, subagents, and agent workflows
  • 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

Nice to have

  • 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)

What we offer

  • 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!


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