AI-Native Quality Engineer

Bestow
Remote, USPosted 31 March 2026

Job Description

AI-Native Quality Engineer ABOUT BESTOW Life insurance is one of the world's most important products. It's also one of the hardest to build, distribute, and modernize. Bestow exists to change that. Bestow is a leading vertical technology platform serving some of the largest and most innovative life insurers. Our platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. Carriers choose us to scale and operate at unprecedented speed, powered by AI and automation. Bestow isn't selling policies. We're building the infrastructure that helps an entire industry move faster, reach more people, and deliver on its promise. Backed by leading investors (Goldman Sachs, Hedosophia, NEA, Valar, 8VC) and trusted by major carriers, Bestow is powered by a team that moves with precision, purpose, and heart. If you want to help reimagine a centuries-old industry with lasting impact, join us. Bestow offers flexible remote/hybrid work, meaningful benefits, equity, and substantial growth opportunities. Bestow participates in the E-Verify Program https://www.bestow.com/e-verify. ABOUT THE TEAM We are hiring an AI-Native Quality Engineer to help establish the future of our software validation and verification capabilities in the age of AI. This role is designed for an early-career engineer with strong experience in artificial intelligence, machine learning workflows, or modern automation tooling who wants to apply those skills to one of the hardest unsolved problems in all of software engineering: turning product intent into trustworthy, testable, verifiable system behavior. You will work at the intersection of application engineering, product development, and applied AI to help translate ideas into structured specifications, executable examples, and scalable validation systems. Along the way, you will learn modern Quality Engineering disciplines such as Definition of Ready, Example Mapping, Specification by Example, and behavior-focused acceptance criteria – while helping us explore how AI can transform those practices. This role is a discipline-building apprenticeship with meaningful technical ownership from day one and mentorship from senior engineering leaders shaping next-generation specification-driven delivery systems. WHAT YOU’LL DO Software teams now build faster than ever–but confidence still depends on how clearly behavior is defined, validated, and verified. We are investing in a new generation of engineers who can combine: - AI-native thinking - structured system reasoning - specification clarity - automation fluency - validation and verification disciplines to help modernize how software organizations measure correctness and readiness. You will help shape the future here. Automation & Verification Engineering (~30%) - Contribute to API verification using REST testing tools and schema-based checks - Help translate structured examples into executable verification artifacts - Support UI and integration automation aligned with documented behavior - Assist with test data setup and environment readiness - Contribute to CI/CD verification workflows - Analyze unexpected behavior discovered during automated execution - Improve signal quality from automated feedback loops Specification & Behavioral Clarity (~30%) - Support structured refinement activities that make software behavior explicit before implementation begins - Participate in Example Mapping and specification workshops with engineers and product managers - Translate feature ideas into structured scenarios and acceptance criteria - Capture assumptions, edge cases, and behavioral expectations early in development - Help create reusable specification templates and example libraries - Apply AI-assisted workflows to improve requirements clarity and consistency - Identify ambiguity before it becomes rework AI-Enabled Quality Engineering Exploration (~40%) - Prototype AI-assisted approaches to sp ... (truncated, view full listing at source)
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