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Artificial Intelligence Validation Engineer

Unlock employer Abu Dhabi, United Arab Emirates Posted: 09 Aug 2025

Financial

  • Estimate: $50k - $70k*
  • Zero income tax location

Accessibility

  • Office Only
  • No Relocation Support
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional

Position

As an AI Validation Engineer within a cross-functional team of Engineers, Data Scientists, and Product Owners, you will primarily focus on testing AI-driven chat applications and mobile apps, ensuring their reliability, performance, and seamless functionality. If you are passionate about seeing your ideas evolve from initial concept to shaping engaging AI-powered experiences for millions of users, Avrioc is the perfect place for you!

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Requirements:

  • Proven experience as an AI Validation Engineer with at least 2+ years dedicated to testing AI/ML systems.
  • Bachelor's degree in computer science, Engineering, or a related technical field.
  • Basic hands-on experience with Python coding.
  • Proven expertise in AI/ML testing methodologies, including validation of models like NLP (specifically LLM), CV, and predictive systems.
  • Hands-on experience in automation testing frameworks such as PyTest, Selenium, Robot Framework, or equivalent.
  • Strong background in prompt testing – ability to craft both functional and adversarial prompts to stress-test generative AI models.
  • Solid understanding of VAPT (Vulnerability Assessment & Penetration Testing) techniques in AI/ML contexts.
  • Experience in testing LLMs and jailbreak of LLMs required.
  • Experience with data validation, bias/fairness audits, model drift detection, and performance benchmarking.
  • Knowledge of SQL, or Shell scripting is a plus (minimal knowledge is fine).
  • Willingness to participate in an on-call rotation, including handling high-priority, time-sensitive issues that may arise during off-hours.
  • Ability to function under pressure and support real-time production environments.
  • Clear communication skills to report issues, document findings, and coordinate with developers and AI researchers.
  • Must be able to generate reports based on testing results.

Responsibilities:

  • Design and execute comprehensive test plans for AI-driven applications, including edge cases, performance stress, and failure modes.
  • Perform rigorous prompt testing on LLMs and generative AI models to identify weaknesses and ensure behavior aligns with design intent.
  • Conduct automated and manual testing to validate model inputs, outputs, and user interactions across platforms.
  • Test security, data privacy, and compliance readiness of AI systems through VAPT and audit mechanisms.
  • Continuously monitor live AI product performance, identify anomalies, and report bugs in a structured format.
  • Support the AI engineering and data science teams by validating models, assisting in debugging, and ensuring stability in staging and production.
  • Provide on-call support for critical issues, particularly during non-standard hours, with compensatory time off as per company policy.
  • Collaborate in model explainability, fairness, and accountability testing, ensuring all ethical and regulatory requirements are met.

For interested candidates, please apply with your resume to [email protected] with the subject line: "Your Name | Years of Experience | Notice Period, Location" along with details like your current and expected salary. Only shortlisted candidates will be contacted.

Work Conditions:

  • On-site
  • Full-time
  • Participation in on-call rotation required
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