AI Engineer (d/f/m) - Internal AI

Personio; Berlin; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Competitive package

Paid vacation (28 days + 1)

Impact Day

Family leave and support

Remote-friendly, office days

Zusammenfassung

Personio’s Internal AI team is seeking an experienced AI Engineer to design, build, and maintain internal AI products and tools. You’ll own end-to-end software, including agents, automations, and the platform interfaces, balancing reliability, cost, and speed.

We value strong Python expertise, production AI delivery, and sound architectural judgment to deliver value across the company. Hybrid work with 2 days in the office in Munich, Berlin, or Dublin.

Qualifikationen

• 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. LangGraph), 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).

Aufgaben

• Build and ship internal products and tools.
• Productionise and maintain internal AI products and platforms.
• Contribute to Personio's AI platform: agent orchestration and context layer.
• Establish and follow production-grade engineering standards and clear documentation.

Kenntnisse

Python

Production AI

LLM APIs

LangGraph

MCP

AWS

Docker

CI/CD

React/TS (nice to have)

Kotlin (nice to have)

Tools

LangGraph

MCP

AWS

Docker

CI/CD

Jobbeschreibung

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.

Role Responsibilities: What you’ll do

Build and ship internal products and tools

• 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

Productionise and maintain

• 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

Contribute to the AI platform

• 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

Engineering standards

• 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

Role Requirements: What you need to succeed

• 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. LangGraph), 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/TypeScript for internal interfaces
  • Kotlin is a plus. Python is our main backend language.

Benefits: Why Personio?

Personio is an equal opportunities employer, committed to building an integrative culture where everyone feels welcomed and supported. We embrace uniqueness and understand that our diverse, values-driven culture makes us stronger. We are proud to have an inclusive workplace environment that will foster your development no matter your gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.

Aside from our people, culture, and mission, check out some of the other benefits that make Personio a great place to work:

• Receive a competitive reward package – reevaluated each year – that includes salary, benefits, and pre-IPO equity
• Enjoy 28 days of paid vacation, plus an additional day after 2 and 4 years
• Make an impact on the environment and society with 1 (fully paid) Impact Day
• Receive generous family leave, child support, mental health support, and sabbatical opportunities.
• We follow an office-led, remote friendly approach, including opportunities to work from home and international locations. Many of our teams have designated days for gathering in the office to enhance collaboration and foster a sense of community.
• We enjoy gathering for meals, cultural initiatives, and events like local Summer Sessions and year-end celebrations. There's also healthy snacks, drinks, and a weekly catered lunch.