AI Quality Engineer

Minimum Qualifications

Bachelor 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.

AI Quality Engineer

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.
suitability determination.
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.