AI QA Engineer
Core
Designing robust QA testing strategies, uncovering complex system bugs, driving root-cause analysis, and leveraging LLMs to build smart tools for engineering processes.
Role type
Senior IC Quality & Operations Engineer (LLM-integrated)
Builds
QA automation frameworks, CI/CD pipelines, internal AI tools, and operational monitoring systems
Domain
Consumer software, distributed systems, generative AI
Deliverable
production ML models
Required skills
QA methodologies, distributed system debugging, root-cause analysis, LLM API integration, automation scripting, incident response, log analysis
Preferred skills
Python/Bash scripting, agentic coding frameworks, software compliance audits
Technologies
Python, Bash, LLMs, CI/CD pipelines, iOS/macOS client logs
Responsibilities
Design and automate rigorous testing strategies; trace issues from backend to client-side logs; develop internal tools using generative AI; monitor service health and resolve production incidents; optimize QA automation and monitoring tools; collaborate with ML teams on joint debugging.
Seniority
Senior, hands-on IC