Key Responsibilities

• Design and develop core framework components and backend services that execute AI evaluation workloads and store processed results.
• Contribute to workflow orchestration and job management systems handling complex, compute-intensive processing pipelines.
• Build integration between AI evaluation frameworks and backend services.
• Optimize system performance by implementing parallel processing, batch processing, caching strategies, and efficient resource utilization.
• Collaborate with product managers and data scientists to understand requirements and translate them into robust and scalable technical solutions.

• 5+ years of software engineering experience, preferably on AI-heavy products, data platforms, or in the cybersecurity industry.
• Expert-level Python skills with advanced development experience in plugin systems, component frameworks, and asynchronous/concurrent processing patterns.
• Experience designing and building backend services and APIs that run and orchestrate complex, compute-intensive jobs.
• Experience integrating with modern AI technology stacks, including AI service APIs, cloud storage systems, and data processing frameworks.
• Familiarity with containerization and container orchestration platforms (Kubernetes) for jobs execution.
• Strong collaboration and communication skills with a professional attitude and commitment to high code quality standards.
• Self-motivated with a strong initiative and the ability to drive technical decisions in fast-paced environments.
• Basic understanding of AI/ML concepts (no deep expertise required).
• Excellent written and spoken English communication skills.

• You'll Be a Builder: As a member of our dynamic engineering team, you won’t be confined to a rigid, pre-defined role. This is a rare opportunity to directly shape our core platform architecture and build scalable systems from the ground up.
• Your Work Will Shape the Future of AI: We are looking for someone who is not afraid to challenge the status quo. You will be instrumental in automating processes and evolving our technology, ensuring we can scale efficiently. This is a chance to move beyond daily tasks and innovate in a crucial field, setting you on a path to a high-impact, long-term career.
• You Will Be Part of Something Bigger: Our mission is to make AI trustworthy and ethical. This is one of the biggest and most crucial topics of our time, and you will be supporting the brilliant minds who are solving this challenge. You will play a direct role in creating a platform that enables this groundbreaking work, ultimately helping to set standards that will shape our future.
• The Berlin/Saarbrücken Advantage: You’ll work at the crossroads of two unique ecosystems: Saarbrücken, Germany’s leading AI research hotspot and home to CISPA, where our roots lie, and Berlin, the country’s most vibrant and diverse startup hub. This shapes who we are: a team that combines scientific excellence with a bold, fast-moving spirit. It's okay to work primarly remote with flexible arrangements. However, it’s important to us that you’re able to join special meetings or key events at one of our offices when needed, as we value the power of human connection.

We founded QuantPi in 2020 as a spin-off of CISPA - Helmholtz Center for Information Security and Saarland University to ultimately enable society for a safe and self-determined co-existence with intelligent machines

Since then, we grew our talented international team of machine learning researchers, software engineers, and business minds and developed our world-leading technology from fundamental research to scalable software that is implemented by Fortune500 companies. We are funded by world-class investors and backed by renowned advisors from academia and industry.

Our mission is to develop technology solutions that make AI trustworthy and ethical, and ultimately safer and more valuable for our society. We do so by eliminating the risks that come with building, deploying, and using AI systems. Our customers can ensure that legal, commercial, and reputational risks related to their AI solutions are identified, assessed, monitored, and mitigated.