AI Automation Engineer – Software Engineering (Leipzig)

Your profile

• 3 or more years of professional software engineering experience, ideally in Python (TypeScript is fine too).
• You code with AI every day: you use AI coding tools such as Claude Code or Cursor to ship faster, and you have the engineering judgement to review, test and own what they produce.
• A solid understanding of systems: APIs, webhooks, databases and how data flows between tools.
• Experience hosting and operating services: Docker, Linux, CI/CD and at least one cloud, ideally AWS.
• Comfortable with SQL and data modelling.
• Understanding of event driven architectures and messaging systems such as Kafka is a plus.
• Experience building with LLM APIs or agent frameworks is a plus.
• A structured, ownership driven way of working, comfortable in a fast moving scale up where not everything is documented yet.
• Fluent English, German is a plus.

Why us?

Legartis exists to unlock legal work at scale.

• Work in a Legal AI scale up with a flat hierarchy and a team that takes the work seriously without taking itself too seriously.
• Real ownership from day one.
• Competitive compensation package including participation in our Employee Stock Option Plan.
• Hybrid work environment with at least two days / week in our Leipzig office.
• Regular team events in Germany and Switzerland.
• Build with the newest AI tooling every day, and shape how a fast-growing AI company runs internally.

Your first 90 days

In your first month you map our internal workflows and tool stack and ship your first automation to production. By day 60 you have taken over hosting and operation of our existing internal tools and integrations. By day 90 you have delivered a prioritised automation roadmap and at least three automations that save the team measurable time every week.

Process

Send us your CV, a short note on why this role fits you is welcome. If we think that this could be a fit, we invite you to the application process:

• Conversation with the hiring manager to get to know each other
• Conversation with the line manager to understand the role better, including a technical deep dive on your engineering, automation and hosting experience.
• A practical engineering exercise based on a real Legartis scenario, so that you know what to expect from the job and that we understand how you work.
• A “meet the team” round to meet whom you would be working with.
• If there is a mutual fit, we welcome you to the team.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation