AI Engineer; d​/f​/m; Internal AI

Personio's intelligent HR platform helps small and medium-sized organizations unlock the power of people by making complicated, time-consuming tasks simple and efficient. Our team of 1,500 Personios is building user-friendly products that delight our 15,000+ customers and their 1.5 million employees. Ready to make an impact from day one?

Personio is on the path to becoming an AI-first company, redesigning how every department operates, and the Internal AI team is leading that transformation from the inside.

The Internal AI team works as a product team for Personio's own operations: embedding directly in business functions, building the agents and automations that make change real, and staying accountable for outcomes. At the core of that mission is Personio's internal AI operating system: the layer of agents, automations, and tools each function runs on.

The AI Engineer (d/f/m) - Internal AI is the technical engine of that mission. You design, build, and maintain the internal products and tools the rest of the company runs on: complex agents, cross-functional automations, and the applications around them. You own software end-to-end, from architecture through to production and ongoing maintenance. This role sits where strong software engineering meets applied AI: you bring the engineering depth to make the hardest problems solvable and the judgment to build the right thing.

This role requires 2 days per week in the office and is based in Munich, Berlin, or Dublin.

• Design, build, and ship Personio's internal products and tools end-to-end: complex agents, cross-functional automations, and the applications and interfaces around them
• Make the architecture calls: choose the right patterns, manage complexity, and make pragmatic trade-offs between reliability, cost, and delivery speed

• Define what "done" means for an internal AI product: secure auth, error handling, monitoring, rollback, and documentation, then build to that bar
• Own systems over their full lifetime: maintain, monitor quality with Personio's eval platform, catch degradation, and keep them reliable long after launch

• Build on and extend Personio's internal AI platform: agent orchestration, the eval platform, context layer, and connector library
• Feed production experience back into the platform: the use cases you build surface the requirements, and you collaborate with AI Platform engineers to evolve shared infrastructure and the skills library so what you build compounds across the team

• Contribute to Personio's internal AI engineering standards: what production-grade solutions look like, how they are evaluated, deployed, and maintained
• Document solutions clearly so they can be maintained, extended, and handed over without you in the room

• 4+ years building and shipping production software, working independently
• Strong Python skills — our primary backend language — across APIs, services, and data integration
• Hands-on experience building production AI products: agentic workflows and RAG pipelines with LLM APIs, agent frameworks (e.g. Lang Graph), and MCP
• Judgement about where AI adds value and where it's overkill
• A track record of production-grade work: testing, observability, and secure handling of auth and data
• Experience deploying and running services in the cloud (AWS, Docker, CI/CD)
• Nice to have
  • React/Type Script for internal interfaces
  • Kotlin is a plus. Python is our main backend language.

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We…