Remote Position
AI Quality Engineer
🌍 Remote · United States
💼 Full-time
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.
- Demonstrated experience in software quality assurance, test engineering, or a related discipline, including test plan design and defect management.
- Hands-on experience testing or validating AI-generated code, prototypes, or “vibe-coded” solutions for accuracy and reliability.
- Experience with automated testing tools and frameworks (e.g., Selenium) across web and enterprise applications.
- Experience with one or more of the following: Salesforce, AWS (including Lambda and Redshift), Java, or PostgreSQL, or a comparable enterprise technology stack.
- Familiarity with CI/CD pipelines and quality gates within modern software delivery practices.
- Strong analytical skills, with the ability to identify security, data-sensitivity, and compliance risks in AI-assisted solutions.
- Excellent written and verbal communication skills, with the ability to work across product, engineering, data, and business SME teams.
- Preferred Qualifications or Skills
- Direct experience supporting Federal clients.
- Experience with FedRAMP authorization processes.
- Mortgage, fintech, or other regulated industry experience (preferred, not required — willingness to learn quickly is essential).
- Familiarity with AI safety, governance, and compliance.
- Ability to use or teach tools such as ChatGPT, Claude, Gemini, Notion, Airtable, Zapier, LangChain, or similar.
- Experience in startups, consulting, internal strategy, learning & development (L&D), or innovation teams.