Description
As a Senior Quality Engineer, Applied AI, you will act as the quality and reliability lead within a small, senior AI development pod focused on solving novel, high-impact business and engineering problems.
Your responsibilities will include designing and implementing test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows. You will partner closely with software and AI engineers to identify failure modes early across code, prompts, models, integrations, infrastructure, and user workflows.
Your key objectives will be to build confidence in fast-moving solutions through automated testing, observability, instrumentation, environment design, and operational safeguards. You will help define practical standards for reliability, resiliency, debugging, and production operations in an AI-first development model.
In addition, you will contribute directly in code, infrastructure, and tooling where needed to improve delivery confidence, developer feedback loops, and production stability. You will support launch readiness, production issue response, root cause analysis, and continuous improvement for front-facing systems delivered by the pod.
You will evangelize strong engineering discipline in areas such as quality assurance, release engineering, infrastructure hygiene, and incident prevention without sacrificing speed.
In this role, you will have the opportunity to work with frontier AI tooling, AI coding assistants, LLM-enabled applications, or agentic systems, including awareness of the unique quality and reliability challenges these systems introduce.
To succeed in this position, you will need to have strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure. You will also need to have experience working with AI-first or AI-accelerated software development teams, including designing quality controls around non-deterministic system behavior.
We are looking for a highly skilled and experienced individual who can bring a strong understanding of quality engineering principles and practices to this role. If you are passionate about delivering high-quality software and have a strong background in AI development, we encourage you to apply.