The Role
Design and implement testing strategies and automated frameworks for AI/ML systems; evaluate model performance, robustness, biases, hallucinations, and security; analyze datasets and outputs for quality and compliance; collaborate with engineers and product teams to improve AI solutions and document testing findings and best practices for trustworthy AI in public administration.
Summary Generated by Built In
Verwaltungssprung is a Berlin-based GovTech company developing AI-powered software solutions to simplify and digitize administrative processes. Our platform enables citizens and public institutions to access secure, user-friendly, and fully digital public services.
To support the growth of our organization, we are looking for an AI Test Engineer (f/md) who is passionate about ensuring the reliability, security, and quality of AI-driven applications in the public sector. In this role, you will help validate and optimize AI systems that directly impact digital government services and citizen experiences.
In this role, you will design, develop, and optimize AI-powered solutions that help modernize public administration and create seamless digital experiences for citizens and institutions.
Tasks
* Design, implement, and maintain testing strategies for AI-powered applications and machine learning systems
* Evaluate AI model performance, accuracy, robustness, and reliability across different use cases
* Identify system weaknesses, edge cases, biases, hallucinations, and security vulnerabilities
* Develop automated test frameworks and quality assurance processes for AI solutions
* Collaborate closely with AI Engineers, Product Managers, and Software Developers throughout the development lifecycle
* Analyze datasets and outputs to ensure compliance with quality and ethical standards
* Support continuous improvement of AI systems through structured feedback and testing insights
* Document testing methodologies, findings, and recommendations for internal and external stakeholders
* Contribute to establishing best practices for responsible and trustworthy AI within public administration environments
Requirements
* Degree in Computer Science, Software Engineering, AI, Data Science, or a related field
* Experience in software testing, quality assurance, or AI/ML system evaluation
* Strong understanding of machine learning concepts, AI system behavior, and testing methodologies
* Familiarity with automated testing tools, scripting languages, and test frameworks
* Experience analyzing model outputs, performance metrics, and potential biases
* Understanding of security, privacy, and compliance considerations in AI applications
* Strong analytical thinking and problem-solving skills
* Excellent communication skills and the ability to work in interdisciplinary teams
* Fluent in English; German is a plus
Benefits
* Attractive above-average compensation package
* State-of-the-art IT equipment enabling flexible hybrid working worldwide - from home, our Berlin office, or on-site with partners
* Centrally located offices with access to the unique ThinkTank Campus in Berlin-Wannsee
* Comfortable travel policy as well as free snacks and beverages in our offices
* Flat hierarchies, fast decision-making, and room for your own ideas
* International team spirit with recognition of both collective and individual successes
* Early responsibility and creative freedom from day one
* Structured onboarding with a buddy and experienced mentor
* Continuous training programs and regular development discussions
Join Verwaltungssprung and become part of a mission-driven team building the future of digital public services. If you are passionate about analyzing complex administrative systems and transforming them into meaningful digital solutions with real societal impact, we would love to hear from you.
To support the growth of our organization, we are looking for an AI Test Engineer (f/md) who is passionate about ensuring the reliability, security, and quality of AI-driven applications in the public sector. In this role, you will help validate and optimize AI systems that directly impact digital government services and citizen experiences.
In this role, you will design, develop, and optimize AI-powered solutions that help modernize public administration and create seamless digital experiences for citizens and institutions.
Tasks
* Design, implement, and maintain testing strategies for AI-powered applications and machine learning systems
* Evaluate AI model performance, accuracy, robustness, and reliability across different use cases
* Identify system weaknesses, edge cases, biases, hallucinations, and security vulnerabilities
* Develop automated test frameworks and quality assurance processes for AI solutions
* Collaborate closely with AI Engineers, Product Managers, and Software Developers throughout the development lifecycle
* Analyze datasets and outputs to ensure compliance with quality and ethical standards
* Support continuous improvement of AI systems through structured feedback and testing insights
* Document testing methodologies, findings, and recommendations for internal and external stakeholders
* Contribute to establishing best practices for responsible and trustworthy AI within public administration environments
Requirements
* Degree in Computer Science, Software Engineering, AI, Data Science, or a related field
* Experience in software testing, quality assurance, or AI/ML system evaluation
* Strong understanding of machine learning concepts, AI system behavior, and testing methodologies
* Familiarity with automated testing tools, scripting languages, and test frameworks
* Experience analyzing model outputs, performance metrics, and potential biases
* Understanding of security, privacy, and compliance considerations in AI applications
* Strong analytical thinking and problem-solving skills
* Excellent communication skills and the ability to work in interdisciplinary teams
* Fluent in English; German is a plus
Benefits
* Attractive above-average compensation package
* State-of-the-art IT equipment enabling flexible hybrid working worldwide - from home, our Berlin office, or on-site with partners
* Centrally located offices with access to the unique ThinkTank Campus in Berlin-Wannsee
* Comfortable travel policy as well as free snacks and beverages in our offices
* Flat hierarchies, fast decision-making, and room for your own ideas
* International team spirit with recognition of both collective and individual successes
* Early responsibility and creative freedom from day one
* Structured onboarding with a buddy and experienced mentor
* Continuous training programs and regular development discussions
Join Verwaltungssprung and become part of a mission-driven team building the future of digital public services. If you are passionate about analyzing complex administrative systems and transforming them into meaningful digital solutions with real societal impact, we would love to hear from you.
Skills Required
- Degree in Computer Science, Software Engineering, AI, Data Science, or related field
- Experience in software testing, quality assurance, or AI/ML system evaluation
- Strong understanding of machine learning concepts, AI system behavior, and testing methodologies
- Familiarity with automated testing tools, scripting languages, and test frameworks
- Experience analyzing model outputs, performance metrics, and potential biases
- Understanding of security, privacy, and compliance considerations in AI applications
- Strong analytical thinking and problem-solving skills
- Excellent communication skills and ability to work in interdisciplinary teams
- Fluent in English
- German language skills
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The Company
What We Do
Verwaltungssprung is a Berlin-based GovTech company that develops AI-powered software solutions designed to simplify and digitize administrative processes. The company's platform enables citizens and public institutions to access secure, user-friendly, and fully digital public services, focusing on improving efficiency, transparency, and accessibility through automated validation processes, digital identity management, and seamless integration into existing public administration systems.
