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Join our Quality Operations team as a full-time member (40 hrs/week) in the role of Lead AI Quality Intelligence Engineer (m/f/d). This role is available at our IU office locations or remotely, provided you reside in Germany or the UK.


This role involves building next-generation, AI-powered quality intelligence systems that go beyond traditional test automation. Production-grade detection and diagnostic workflows will be developed to continuously monitor IU’s platforms, surface anomalies early, and accelerate incident response. This greenfield initiative has strong leadership backing and includes leading a small, hands-on team while collaborating closely with Quality, Engineering, and Incident Management leadership.

Lead and mentor two Quality Intelligence Engineers (senior and mid-level), guiding delivery from prototype to production
Build AI-assisted quality intelligence systems using modern LLM frameworks (LangChain, LangSmith) and strong engineering fundamentals. Develop agentic workflows that continuously run product assurance checks across websites, services, and applications
Detect meaningful anomalies early while reducing noise through operational thresholds and alert guardrails and build defect risk forecasting models and recurring failure pattern analyses using BigQuery and advanced SQL
Integrate quality intelligence with incident.io, enriching incidents with diagnostic context, including what changed, where, severity signals, and correlations
Create automated pipelines for monitoring, reporting, escalation, and early-warning detection. Support incident response teams during live events with real-time analysis, historical context, and accelerated root-cause investigation
Build proof-of-concepts, run experiments, and communicate outcomes clearly to leadership and wider organizational forums. Share knowledge across teams to help IU become a leader in practical, responsible AI-powered quality assurance

Strong AI/ML engineering expertise with hands-on experience in intelligent automation, anomaly detection, and agentic workflows
Solid quality engineering knowledge, including failure modes, operational risk, proactive defect detection, and defining “good quality” in complex systems; experience in EdTech or integrated product environments is a plus
Strong software engineering discipline, building systems that are tested, observable, maintainable, and production-ready as well as data-driven problem-solving using telemetry, logs, and product signals in BigQuery with advanced SQL proficiency
Proven builder mindset, taking greenfield systems from concept to reliable production delivery, with strong AI judgment to balance AI leverage and deterministic solutions
Experience with LangChain, LangSmith, CrewAI, AutoGPT, or similar frameworks; familiarity with incident management platforms (incident.io preferred), observability tools (Datadog), and SRE practices is beneficial
Strong communication skills to clearly explain complex technical work and demonstrate measurable impact across teams plus leadership experience mentoring engineers through complex technical delivery


Be you at IU: We support and empower you to achieve your personal and professional goals. After all, your happiness significantly contributes to a positive and productive environment.

Work wherever you want...: Digitalization is part of our DNA. Decide for yourself which place sparks the most productivity in you. You love remote work? No problem! Would you like to work abroad for a while? Our WorkFlex Benefit makes it possible.

... and flexible in terms of time: It's your job; We trust you and give you the greatest possible freedom to organize yourself.

Take your knowledge to a new level: Where else, if not with us? Enjoy free access to all our e-learning platforms. In addition, we will finance you a complete technology course of your choice.

Make your journey sustainable:...