AI-Native Quality Engineer

Bestow is a leading technology platform in the life insurance sector, aiming to modernize and expedite the insurance process through AI and automation. They are seeking an AI-Native Quality Engineer to enhance their software validation and verification capabilities, focusing on translating product intent into trustworthy system behavior while learning modern Quality Engineering disciplines.

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

Requirements:

• 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
• 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