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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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