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updated 2 months ago

Principal AI Tool Engineer For Software Automation/Testing (Cybersecurity)

12 250 - 19 792$
Work format
onsite
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Principal AI Tool Engineer (AI/ML Testing): Designing and developing testing frameworks for AI/ML models and LLM applications with an accent on model validation, benchmarking, and hallucination detection. Focus on building automated pipelines for regression testing and creating evaluation datasets for edge cases.

Location: Must be based in Santa Clara, CA, USA. No immigration sponsorship available.

Salary: $147,000 - $237,500 per year

Company

hirify.global is a global leader in cybersecurity, dedicated to protecting the digital way of life through AI-driven innovation and disruptive technology.

What you will do

  • Design and develop testing frameworks for AI/ML models and LLM applications.
  • Build automated pipelines for model validation, regression testing, and benchmarking.
  • Create evaluation datasets, synthetic data, and test scenarios for edge cases.
  • Implement metrics to assess accuracy, robustness, latency, and safety.
  • Develop tools for prompt testing, output validation, and hallucination detection.
  • Collaborate with engineering and product teams to define test strategies and monitor production performance.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
  • 8+ years of experience in software engineering, QA automation, or ML engineering.
  • Strong programming skills in Python.
  • Experience with testing frameworks (e.g., PyTest, unittest) and CI/CD pipelines.
  • Familiarity with machine learning concepts and model evaluation techniques.
  • No immigration sponsorship available for this position.

Nice to have

  • Experience with LLMs, prompt engineering, and frameworks like LangChain or OpenAI Evals.
  • Knowledge of AI safety, bias detection, and adversarial testing.
  • Experience with cloud platforms such as AWS, GCP, and Azure.
  • Exposure to synthetic data generation and simulation environments.

Culture & Benefits

  • Mission-driven environment focused on cybersecurity innovation.
  • Strong emphasis on in-person collaboration at the headquarters.
  • Competitive compensation package including restricted stock units and bonuses.
  • Commitment to diversity, inclusion, and equal opportunity employment.

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