AI-Native Quality Engineer at Bestow in Dallas, TX

Summary: Bestow is a leading vertical technology platform focused on modernizing life insurance through AI and automation. They are seeking an AI-Native Quality Engineer to help establish software validation capabilities, working at the intersection of application engineering, product development, and applied AI. Responsibilities: - 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 - 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 - Prototype AI-assisted approaches to specification generation - Experiment with prompt-driven verification workflows - Explore semantic regression detection techniques - Evaluate machine-interpretable documentation strategies - Integrate AI-assisted tooling into requirements and specifications, test generation, maintenance, failure analysis, and reporting workflows - Help identify innovative opportunities to improve engineering confidence using modern AI tooling Required Qualifications: - Recent college graduate or early career experience in software engineering, AI/ML workflows, or applied automation - Strong proficiency in Python, JavaScript/TypeScript, or another modern programming language - Hands-on experience working with APIs or modern web systems - Demonstrated interest in artificial intelligence, prompt engineering, or evaluation workflows - Ability to reason about system behavior through structured examples - Strong written communication skills - Curiosity about how complex systems behave under changing conditions - Interest in learning modern validation and verification disciplines Preferred Qualifications: - LLM experimentation or prompt engineering - Evaluation harnesses or benchmarking workflows - JSON schema or OpenAPI - Test automation frameworks - CI/CD pipelines - Containerized environments - Semantic search or embeddings workflows - Agent pipelines or structured output systems - Behavior-driven development practices - Preference for candidates that submit a link to their GitHub Repository Required Skills: Artificial Intelligence, Machine Learning Workflows, Automation Tooling, Python, JavaScript, TypeScript, API Testing, REST Testing Tools, Schema-based Checks, UI Automation, Integration Automation, CI/CD Pipelines, Specification by Example, Example Mapping, Behavior-driven Development, Prompt Engineering, JSON Schema, OpenAPI, Test Automation Frameworks, Containerized Environments Benefits: Competitive salary and equity based on role, Policies and managers that support work/life balance, like our flexible paid time off and parental leave programs, 100% paid-premium option for medical, dental, and vision insurance, Lifestyle stipend to support your physical, emotional, and financial wellbeing, Flexible work-from-home policy and open to remote, Remote and WFH options, as well as a beautiful, state-of-the-art office in Dallas’ Deep Ellum, for those who prefer an office setting, Employee-led diversity, equity, and inclusion initiatives