Senior Quality Engineer, Applied AI
Boston, Massachusetts, United States
USD 191K-253K Senior-level Full Time
Tasks
- Continuously improve quality engineering practices and incident prevention
- Contribute code infrastructure and tooling for delivery confidence
- Define validation approaches and release readiness criteria
- Design test strategies for AI enabled software
- Identify failure modes across code prompts models integrations and workflows
- Implement automated testing observability instrumentation and safeguards
- Lead quality and reliability for AI development pod
- Set standards for reliability resiliency debugging and production operations
- Support launch readiness production incident response and root cause analysis
Perks/Benefits
Skills/Tech-stack
APIs | Agentic Systems | Automated testing | CI/CD | Cause analysis | Cloud infrastructure | Containerization | Debugging | Distributed Systems | End to End | End-to-End Testing | Incident Response | Infrastructure as Code | Instrumentation | Integration Testing | LLM | Language Models | Large Language Models | Machine Learning | Observability | Performance Testing | Quality Assurance | Release Engineering | Reliability Engineering | Root Cause Analysis | Root cause | Test strategy | Unit Testing | Validation | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Quality Engineer | Engineer | Quality Engineer | Senior Quality Engineer
Regions
Countries
States
Cities
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