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Open nowPosted 7 days ago

AI Automation Engineer – Software Engineering (Leipzig)

legartis15 open roles

Where
Leipzig
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Your applicationOpen nowAI Automation Engineer – Software Engineering (Leipzig)legartis · Leipzig

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The clock on this job

Early applications get read.

8.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.8%1 day
  2. 4.0%3 days
  3. 8.5%7 days
  4. 15.4%14 days
  5. 34.1%30 days
This job: posted 7 days ago

The posting

Description

Legartis is a leading Legal AI company transforming how organizations manage and work on their contracts. As we scale across DACH and into new European markets, we want the way we work internally to scale with us, without adding headcount for every manual process. We are looking for an AI Automation Engineer with a solid software engineering background who finds the repetitive work across our teams and automates it: with code, with AI, and with systems that keep running long after the demo.

Your mission

  • Identify manual, repetitive workflows across Sales, Customer Success, Finance and Operations, and replace them with reliable automation.
  • Design, build and operate internal tools, integrations and AI agents in Python: version controlled, tested, monitored and deployed through CI/CD.
  • Integrate our internal systems (e.g. HubSpot, Younium, Google Workspace, Slack, Linear and our own product platform) via REST APIs, webhooks and event driven pipelines on our Kafka based platform.
  • Build LLM powered workflows and agents, e.g. on AWS Bedrock, for tasks such as data enrichment, document handling, triage and reporting.
  • Host and run what you build: deployment, monitoring, updates, backups and security patches. You build it, you run it.
  • Own the internal tool stack and its integrations end to end, and keep it documented so others can rely on it.

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:

  1. Conversation with the hiring manager to get to know each other
  2. Conversation with the line manager to understand the role better, including a technical deep dive on your engineering, automation and hosting experience.
  3. 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.
  4. A “meet the team” round to meet whom you would be working with.
  5. If there is a mutual fit, we welcome you to the team.
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