AI Automation Engineer for Business Systems (m/f/d) at AutoScout24

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Automation Engineering, GenAI Implementation, API Integration, Debugging, Problem Solving, Communication, Testing, Operational Readiness, Workflow Tooling, Security, Observability, Reliability, Data Access Patterns, Collaboration Tools, Enterprise Systems

Industry

Software Development

Description

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. The AI Automation Engineer, Business Systems designs, builds, and operates GenAI-powered automations and agents for internal business workflows. The role delivers hands-on at the application and integration layer, partnering closely with business owners, the AI Enablement Team / Business Technology Services Team, and platform/data teams to ship reliable solutions with measurable impact. What you’ll do: Design, build, and ship GenAI automations and agents into internal business workflows Write and maintain application code, orchestration logic, and integration components Integrate with business systems and tools (e.g., CRM, ERP, HCM, contact center, collaboration tools) via APIs, events, and workflows Leverage shared data/platform capabilities (data access patterns, connectors, reliability practices) rather than rebuilding foundations Define and apply quality checks for agent behavior; iterate based on usage, feedback, and failure modes Engineer for production: reliability, security, observability, and cost awareness Partner with stakeholders to clarify requirements, validate outputs, and support rollout into operations Capture reusable patterns, templates, and technical blueprints to speed up future delivery Level of autonomy and impact Owns delivery of assigned solutions end-to-end at the application/integration layer Makes day-to-day technical decisions independently; escalates architecture/security decisions as needed Accountable for solution stability in production and clean handover to owning teams where applicable Contributes reusable patterns that improve speed and quality across the portfolio What you’ll bring: Strong software engineering or automation engineering experience delivering production systems Experience integrating enterprise systems using APIs, events, and workflow tooling Practical GenAI implementation experience (LLM APIs, tool/function calling; retrieval patterns where needed) Solid engineering fundamentals: testing, debugging, code quality, and operational readiness Strong problem-solving and ability to move from ambiguity to implementation with disciplined scoping Effective communication across technical and non-technical stakeholders Nice to have Experience with agent frameworks, evaluation/monitoring approaches, or prompt/application architecture Familiarity with identity/access patterns and secure enterprise integrations Experience with CRM/ERP/HCM/contact center ecosystems or internal tooling environments A culture of growth With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. For a career where you can drive our business and shape your future, apply now.

Responsibilities

The AI Automation Engineer designs, builds, and operates GenAI-powered automations for internal business workflows. This role involves integrating with business systems and ensuring the reliability and stability of solutions in production.