Senior AI Engineer – Test & Quality Enablement

We are seeking a highly experienced Senior AI Engineer to lead the design and development of AI agents, skills, and internal tools that materially accelerate test development, automation, execution, and analysis. This role sits at the intersection of quality engineering, internal tooling, and applied AI, and will help scale AI adoption across test and quality teams while contributing reusable agent capabilities for broader engineering teams.

Responsibilities

Lead design and development of AI agents, skills, and internal tools that accelerate test development, automation, execution, and analysis; Own end-to-end delivery of AI-powered solutions from problem discovery through production implementation; Design and deliver agentic solutions that help engineers and SDETs generate, refine, and maintain test cases and test assets; Automate repetitive testing workflows; Summarize failures and recommend likely causes using logs, traces, and run artifacts; Improve feedback loops through intelligent prioritization and actionable insights; Build and evolve AI capabilities enhancing test coverage, selection, and execution efficiency; Architect and implement AI-powered test automation frameworks and tooling; Develop self-healing/adaptive automation approaches; Integrate intelligent testing into CI/CD pipelines; Analyze test run data and quality signals to identify patterns, anomalies, and improvement opportunities; Build automated workflows for complex validation scenarios; Provide technical direction, code reviews, and mentorship; Evaluate and integrate third-party AI testing tools; Contribute to standards and best practices for AI-assisted test development and automation

Requirements

Bachelor's/Master's in Computer Science or equivalent; 5+ years experience in software engineering and/or test automation (including building frameworks/tools used by other engineers); Strong proficiency in Python and Linux/Unix environments; Demonstrated applied experience using AI/ML and/or generative AI to improve engineering workflows (testing, automation, developer productivity); Proven track record integrating automation into CI/CD pipelines and delivering maintainable systems adopted by teams; Strong problem solving, design skills, and ability to deliver across ambiguous problem spaces; Hands-on experience building AI agents (planning/tool use, retrieval, evaluation) for internal engineering; Experience with Docker and modern test execution environments; Experience with test intelligence use cases such as defect prediction, test selection optimization, or coverage insights; Experience establishing team practices around AI solution quality, safety, and operational readiness

Nice to have

Kubernetes

Benefits

People-first culture; Flexible work model; Focus on well-being; Inclusive environment