Senior Quality Engineer, Applied AI
Costa Mesa, California, United States
USD 191K-253K Senior-level Full Time
Tasks
- Contribute to code infrastructure and tooling for delivery confidence
- Create instrumentation environment design and operational safeguards
- Define release readiness criteria
- Define reliability resiliency debugging and production standards
- Design test strategies and validation approaches
- Identify failure modes across code prompts models integrations and user workflows
- Implement automated testing and observability
- Improve continuous quality and incident prevention through engineering discipline
- Lead quality and reliability for AI development pod
- Support launch readiness production issue response and root cause analysis
Perks/Benefits
- N/A
Skills/Tech-stack
API | Agentic Systems | Automated testing | CI/CD | Cause analysis | Cloud infrastructure | Continuous Improvement | Debugging | Distributed Systems | End to End | End-to-End Testing | Environment Design | Incident Response | Infrastructure as Code | Instrumentation | Integration Testing | LLM | Language Models | Large Language Models | Observability | Performance Testing | Quality Engineering | Release Engineering | Reliability testing | Root Cause Analysis | Root cause | Sensor fusion | Test strategy | Unit Testing | Validation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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