Principal AI Tool Engineer For Software Automation/Testing (Cybersecurity)
12 250 - 19 792$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aipythonazureawsgcpllmci cdmachine learningqa automationpytestcybersecurityprompt engineeringsynthetic data
45
Не очень вакансия
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Роль четко определена и предлагает хороший стек технологий, но зарплата значительно ниже рыночных стандартов, что вызывает сомнения в ее привлекательности.
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Низкая зарплатаЧетко определенная рольСовременный стек технологий
Оценка от Hirify AI
Описание вакансии
Текст:
Hirify AI/Оригинал
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.