Why You're Here
You think in systems. You consider what happens at scale, under load, when things go wrong.
Maybe you've seen too many architectures that looked good on paper but fell apart in production. Maybe you're the person who asks "what happens when this fails?" before anyone else. Maybe you want to design systems that are both functional and elegant.
At PromptPartner, we build AI automation systems that run critical workflows for European businesses. These systems need to be reliable, scalable, and maintainable. We need someone who can design them right from the start.
🎯 What You'll Do
- Design system architectures for automation platforms that scale
- Make technical decisions about databases, APIs, integrations, and infrastructure
- Balance trade-offs between speed, reliability, and complexity
- Review and improve existing systems to handle growth
- Document decisions so the team understands the "why"
- Mentor developers on architectural thinking
🧠 You Think About Things Like...
- How data flows between systems
- What happens when third-party APIs fail
- How to design for 10x growth without rewriting everything
- Where to put complexity—and where to avoid it
- When to build vs. when to buy
- How to keep systems simple as requirements change
🛠 Tech Context
You don't need to be an expert in all of these—but you should understand how they fit together:
- Databases: PostgreSQL, Redis, when to use what
- APIs: REST, GraphQL, webhooks, event-driven patterns
- Queues: Message brokers, async processing
- Infrastructure: Containers, cloud services, deployment patterns
- Integrations: Third-party APIs, data pipelines, n8n/automation tools
🤖 AI-Assisted Architecture & Engineering
We're an AI company—we use AI tools ourselves.
- Claude Code or similar for rapid prototyping and documentation
- Using AI to explore design alternatives and document decisions
- Writing clear PRDs and architecture specs that AI tools can execute
- Understanding how to design systems that AI agents can interact with
- Staying current with AI tools—things change weekly, we adapt fast
- Experience with MCP (Model Context Protocol) for AI agent architectures is a plus
✨ You're Right for This If...
- You've designed and built systems yourself, and they scaled
- You can explain complex architecture decisions in simple terms
- You think about failure modes before they happen
- You balance perfection with pragmatism—you ship
- You've made architectural mistakes and learned from them
- You enjoy mentoring others on technical decisions
✗ This Isn't for You If...
- You prefer theory over implementation
- You design in isolation without understanding business needs
- You optimize for elegance over practical outcomes
- You've never built systems at meaningful scale
- You can't simplify complex ideas for non-technical stakeholders
💰 What You Get
| Benefit | Details |
|---|---|
| Location | Remote (Europe) or hybrid in Zurich |
| Compensation | Base + Performance Bonus |
| Equity | Significant equity package |
| Learning | Annual learning budget |
| Home Office | Setup budget provided |
| Impact | Shape technical direction of the company |
💌 How to Apply
Show us how you think:
- A system you designed — what were the requirements, trade-offs, and outcomes?
- An architecture decision you'd make differently now — what did you learn?
- How you use AI tools in your architecture work — research, documentation, prototyping?
- How you'd approach designing an automation platform that handles 100K workflows/day
PromptPartner AI — Building systems that make automation reliable at scale.