Senior Quality Engineer, Applied AI
Core
Lead quality and reliability for AI-enabled software, automation, and agentic workflows within a senior AI development pod.
Role type
Senior Quality Engineer (Applied AI)
Builds
Automated testing, observability, instrumentation, environment design, and operational safeguards for AI systems.
Domain
Artificial Intelligence / Software Engineering / Site Reliability Engineering
Deliverable
production ML models
Required skills
Test strategy design, validation approaches, failure mode identification, automated testing, observability, debugging, root cause analysis, incident response, CI/CD, distributed systems, cloud infrastructure, LLM application development, agentic systems.
Preferred skills
Quality controls for non-deterministic behavior, infrastructure as code, ERP/MES/WMS/CRM/finance/manufacturing systems, U.S. Secret security clearance.
Technologies
LLMs, agentic systems, cloud platforms, CI/CD pipelines, observability stacks, infrastructure as code.
Responsibilities
Design test strategies and release-readiness criteria for AI software; partner with engineers to identify failure modes across code, prompts, models, and integrations; build automated testing and operational safeguards; support launch readiness and production issue response; promote quality assurance and incident-prevention practices.
Seniority
Senior, hands-on IC (via careerplan.io/jobs/22023-senior-quality-engineer-applied-ai-at-anduril-industries)
