The opportunity
Ship Agentic Workflows : Design and prove the core patterns that let AI agents complete real engineering work from start to finish: context engineering, memory, gated plans. Once proven, package them so any team can adopt them.
What you'll do
Ship Agentic Workflows: Design and prove the core patterns that let AI agents complete real engineering work from start to finish: context engineering, memory, gated plans. Once proven, package them so any team can adopt them.
Enable Self-Service AI Tooling: Build the distribution layer that lets teams publish and pick up AI capabilities on their own schedule, without routing through a central team.
Connect Agents to Internal Tools: Build the integrations between AI agents and the systems engineers use every day: issue trackers, code review, CI and empower engineers to build that kind of workflow themselves.
Turn Problems into Patterns: Identify recurring engineering problems and turn them into repeatable, AI-powered solutions other teams can adopt.
Set the Standard: Define and document how engineers at N26 use AI responsibly: the guardrails, the practices, the shared understanding that lets the platform scale without surprises.
Measure What Matters: Track how AI is being used across N26, what it costs, and where it drives real impact. Use that data to sharpen what the team builds next.
What they're looking for
- An Ownership Mindset: You identify gaps, propose solutions, and ship without waiting to be directed.
- Strong Coding Fundamentals: You write clean, maintainable code; language is secondary to craft. Our stack leans on Go and TypeScript, but what matters is that you care about what you ship and can pick up new languages fast.
- Platform Intuition: You think in multipliers. When you see a repeated manual step, you build the tool that removes it for everyone.
- Developer Tooling Experience: You have built or operated internal developer platforms: plugin registries, CI/CD integrations, package distribution, or configuration management.
