TL;DR
Senior Engineer AI/ML (Responsible AI): Designing and executing adversarial testing and safety evaluations for GenAI and AI-powered systems with an accent on identifying vulnerabilities, failure modes, and misuse risks. Focus on building automated red-team testing frameworks and translating findings into scalable safety controls.
Location: Remote (Nationwide US). Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.
Salary: $125,400.00 – $181,875.00
Company
hirify.global is a company focused on transforming financial lives, offering a flexible work environment and fluid career paths for its employees.
What you will do
- Design and execute adversarial testing strategies for AI and GenAI systems.
- Build and maintain automated red-team testing frameworks and adversarial test suites.
- Analyze model and system behavior to identify safety, robustness, and security vulnerabilities.
- Document findings and provide clear, actionable remediation guidance to application and platform teams.
- Partner with AI/ML engineers to harden applications and workflows based on red-team findings.
- Collaborate with QA and Security teams on integrating adversarial testing and incident support.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 4–7 years of professional software or AI/ML engineering experience.
- Hands-on experience building, testing, or evaluating AI/ML or LLM-based systems.
- Strong proficiency in Python and experience developing automated testing or evaluation frameworks.
- Experience working with modern cloud platforms such as AWS.
- Understanding of common GenAI and LLM risk vectors, including prompt injection, jailbreaks, or unsafe outputs.
- Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.
Nice to have
- Prior experience in red teaming, adversarial testing, or offensive security for AI or ML systems.
- Experience testing or hardening GenAI or LLM-based applications.
- Familiarity with AI safety guardrails, content moderation systems, or Responsible AI evaluation methods.
- Experience building reusable testing frameworks or safety tooling adopted by multiple teams.
Culture & Benefits
- Flexible work environment with fluid career paths and internal mobility.
- Medical, dental, vision and life insurance.
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%).
- Tuition reimbursement up to $5,250/year.
- Generous paid time off, including a paid time off program plus ten paid company holidays and three floating holidays.
- Paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA).
- Business-casual environment that includes the option to wear jeans.
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