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Validation Engineer - Multi-Agent AI Systems(m/w/x)
Validating multi-agent AI systems by exploring behavioral space and uncovering failures. 3-5 years AI/ML validation experience required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, AI/ML, Systems Engineering, or related field
- 3-5 years experience in validation, verification, or quality engineering for complex AI, ML, or software-intensive systems
- Expert programming skills in C++, Java, Kotlin, or Python
- Proficiency in AI-assisted development using coding agents (Claude Code, GitHub Copilot, OpenCode)
- Understanding of agentic AI architectures, agent patterns, and multi-agent interaction
- Ability to apply optimization, search, or operational-research techniques to testing or exploration problems
- Experience with automotive software quality processes (ASPICE, ISO 26262) is a plus
Tasks
- Prove the multi-agent AI system works
- Develop AI-assisted validation strategies
- Explore behavioral space of interacting agents
- Uncover failures missed by conventional testing
- Build cloud-based validation environments
- Define test architectures and scenario pipelines
- Create behavioral oracles and regression suites
- Design AI-assisted exploration strategies
- Navigate semantic search space of the system
- Probe behavioral boundaries of agents
- Implement adaptive test strategies
- Optimize techniques to surface edge cases
- Develop coverage models for non-deterministic systems
- Steer test generation using coverage metrics
- Assess release readiness with coverage metrics
- Establish validation methodologies for AI behavior
- Conduct metamorphic and property-based testing
- Perform adversarial probing and acceptance criteria
- Build observability and diagnostics tooling
- Implement distributed tracing and trajectory replay
- Automate failure clustering and root-cause triage
- Evaluate and select LLMs/SLMs for validation
- Balance latency, cost, and accuracy for test campaigns
- Close feedback loop between validation and improvement
- Structure discovered failures and coverage gaps
- Transform behavioral anomalies into actionable knowledge
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Java
- Kotlin
- Python
- Claude Code
- GitHub Copilot
- OpenCode
- ASPICE
- ISO 26262
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
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Validation Engineer - Multi-Agent AI Systems(m/w/x)
Validating multi-agent AI systems by exploring behavioral space and uncovering failures. 3-5 years AI/ML validation experience required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, AI/ML, Systems Engineering, or related field
- 3-5 years experience in validation, verification, or quality engineering for complex AI, ML, or software-intensive systems
- Expert programming skills in C++, Java, Kotlin, or Python
- Proficiency in AI-assisted development using coding agents (Claude Code, GitHub Copilot, OpenCode)
- Understanding of agentic AI architectures, agent patterns, and multi-agent interaction
- Ability to apply optimization, search, or operational-research techniques to testing or exploration problems
- Experience with automotive software quality processes (ASPICE, ISO 26262) is a plus
Tasks
- Prove the multi-agent AI system works
- Develop AI-assisted validation strategies
- Explore behavioral space of interacting agents
- Uncover failures missed by conventional testing
- Build cloud-based validation environments
- Define test architectures and scenario pipelines
- Create behavioral oracles and regression suites
- Design AI-assisted exploration strategies
- Navigate semantic search space of the system
- Probe behavioral boundaries of agents
- Implement adaptive test strategies
- Optimize techniques to surface edge cases
- Develop coverage models for non-deterministic systems
- Steer test generation using coverage metrics
- Assess release readiness with coverage metrics
- Establish validation methodologies for AI behavior
- Conduct metamorphic and property-based testing
- Perform adversarial probing and acceptance criteria
- Build observability and diagnostics tooling
- Implement distributed tracing and trajectory replay
- Automate failure clustering and root-cause triage
- Evaluate and select LLMs/SLMs for validation
- Balance latency, cost, and accuracy for test campaigns
- Close feedback loop between validation and improvement
- Structure discovered failures and coverage gaps
- Transform behavioral anomalies into actionable knowledge
Work Experience
- 3 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Java
- Kotlin
- Python
- Claude Code
- GitHub Copilot
- OpenCode
- ASPICE
- ISO 26262
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Learning & Development
- Personal and professional development opportunities
Job Security
- Job security
Corporate Discounts
- Discounted BMW & MINI conditions
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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