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SeniorУдалённоПолная занятость

Senior AI Quality Engineer

Оценка ИИ

Отличная вакансия в успешном стартапе с сильной культурой и современным стеком. Предлагаются уникальные бонусы (первая неделя — обязательный оплачиваемый отпуск) и возможность реально влиять на развитие ИИ-платформы.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких навыков QA-инженерии и экспертизы в специфических инструментах оценки LLM (Promptfoo, DeepEval). Высокая сложность обусловлена необходимостью не просто тестировать, а создавать стандарты качества с нуля для всей организации.

Анализ зарплаты

Медиана155 000 $
Рынок130 000 $ – 190 000 $
Оценка ИИ

Зарплата не указана в вакансии, но для позиции Senior AI Quality Engineer в Канаде рыночный диапазон составляет от 130,000 до 180,000 CAD в год. Учитывая стадию стартапа и требования к экспертизе в LLM, предложение, скорее всего, находится в верхней части рынка и включает опционы.

Сопроводительное письмо

I am writing to express my strong interest in the Senior AI Quality Engineer position at Roofr. With over 6 years of experience in software quality engineering and a specialized focus on LLM evaluation frameworks, I am excited by the opportunity to build the foundational testing standards for your AI Platform team. My background includes hands-on experience with tools like Promptfoo and DeepEval to measure consistency and safety in agentic workflows, which aligns perfectly with Roofr's mission to integrate AI across its CRM.

In my previous roles, I have successfully integrated automated quality gates into CI/CD pipelines and collaborated with cross-functional teams to adopt rigorous testing patterns. I am particularly drawn to Roofr's customer-obsessed culture and the challenge of setting organization-wide standards for AI behavior. I am confident that my technical expertise in LLM APIs and my commitment to an ownership mentality will allow me to make a significant impact on the reliability of Roofr’s innovative products.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в roofr уже сейчас

Присоединяйтесь к Roofr и станьте архитектором стандартов качества ИИ в динамично развивающемся стартапе!

Описание вакансии

At Roofr, we’re obsessed with our customers. We constantly gather feedback to shape, prioritize, and launch the products they truly need. That’s what makes Roofr’s CRM special. We started by building essential sales tools like aerial roof measurements and digital sales proposals. But when our customers asked for a simple, affordable way to manage and scale their entire businesses, we listened. So, we created a CRM that connects these solutions—along with payments, material ordering, and more—into a seamless, powerful platform. With a clear roadmap ahead, we’re excited to continue expanding and leading the market with innovative products.

We have an amazing culture, strong financials, and best-in-class company metrics. It’s an exciting time to be part of an extraordinary startup that is already successful, yet still early enough to offer its team significant growth, equity, and the opportunity to make a real impact.

This position is for an existing vacancy.

Roofr is building the application foundation that will define how AI is integrated across our entire product — and we need someone to make sure it actually works. As our Senior AI Quality Engineer, you'll sit on the AI Platform team and own the eval frameworks, testing standards, and quality gates that every engineering team at Roofr depends on to ship AI with confidence. But this role extends well beyond the platform — you'll work horizontally across the entire testing organization, training teams, embedding best practices, and raising the bar on how Roofr tests everything it builds with AI. This is early, foundational work — you're setting the standard for the whole org, not just one team.

What You'll Get to Do:

  • Define the testing standards and patterns for AI at Roofr — establishing how product teams validate AI behaviour when building on top of the application foundation
  • Build and own Roofr's LLM eval framework — selecting and extending the right tooling (e.g. Promptfoo, DeepEval, Braintrust) and designing the methodology that measures whether our AI integrations and agent outputs are performing correctly, consistently, and safely
  • Integrate quality gates into CI/CD pipelines so that regressions in AI behaviour are caught before they reach production
  • Design and implement human-in-the-loop review processes for AI outputs where automated evaluation isn't sufficient
  • Embedded on the AI Platform team — ensuring quality is designed into the integration architecture from day one, not bolted on after the fact
  • Work horizontally across the testing organization — coaching QA engineers and developers on AI eval patterns, embedding best practices into team workflows, and actively raising the quality bar across engineering
  • Stay close to the evolving AI quality landscape — new eval techniques, benchmarking approaches, and tooling like Ragas, Arize Phoenix, or LangSmith — and bring the best of it to Roofr

What You'll Bring to the Role:

  • 5–8 years of software engineering or quality assurance experience
  • Hands-on experience building eval frameworks for LLM-powered features — you've thought seriously about how to measure output quality, consistency, and regression, and you've worked with tools like Promptfoo, DeepEval, Braintrust, or similar
  • Strong engineering fundamentals — you write real code, build real tooling, and aren't reliant on manual testing processes
  • Experience integrating automated quality checks into CI/CD pipelines
  • Familiarity with LLM APIs and agent frameworks (e.g. Anthropic Claude, OpenAI, or similar) and the specific quality challenges they introduce
  • Experience designing human review workflows to complement automated evaluation
  • Strong collaboration skills — you'll be working across many teams, and the standards you set only work if engineers actually adopt them
  • Comfort operating in an early-stage environment where the right approach isn't always obvious and you'll need to figure it out
  • Genuine ownership mentality — you care about whether AI at Roofr works well, not just whether the tests pass

🏠 What we offer (US + Canada)

When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:

🏝️ Vacation/Paid Time Off:

  • 1st week of employment is mandatory PTO! Start your journey with Roofr by decompressing and recharging - we will see you in week 2!
  • 1 Friday off per month (we call those our laundry days!)
  • Company wide paid shutdown for the week between Christmas and New Years
  • Flexible time off
  • 80% employer-paid benefits in the U.S. and 100% employer-paid premiums for Extended Healthcare and Dental in Canada
  • RRSP/401k match
  • Generous Parental Leave policy

🤝 Perks:

  • We host an annual company retreat with great team building activities
  • Ample learning and development opportunities to continue growing your career
  • Home office setup stipend
  • Internet and phone allowance
  • Remote first culture
  • Weekly Friday paydays!

🤖 AI Notice

At Roofr, we’re big fans of AI. It helps us write job descriptions that don’t put you to sleep, takes notes during interviews so we can actually listen, and even helps us track down awesome humans like you.

Feel free to use AI to prep, research, or get pumped up for your interview (we see you, ChatGPT power users 👀). But when it’s time to chat, we’d love to meet you, not your AI alter ego. Bring your real, unfiltered self, we promise we will too.

And don’t worry, a real, live human is behind every part of our process. Every application is reviewed by a real person, and you’ll always speak with real humans throughout the interview process. No bots, just good people ☺️

⚠️ Important Notice

We’ve been made aware of an individual impersonating Roofr using a fraudulent domain: roofrr.com (note the extra “r”). Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses, instant messaging platforms, or unsolicited calls.

To ensure your application is legitimate, please apply directly through our official careers page: https://roofr.com/careers.

If you receive any suspicious messages or have questions, reach out to us at talent@roofr.com.

Your safety and security are important to us — thank you for your vigilance!

Roofr is proud to be an equal opportunity employer. We are committed to equal employment opportunity in the workplace regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.

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Навыки

  • LLM
  • Promptfoo
  • DeepEval
  • Braintrust
  • CI/CD
  • Python
  • Ragas
  • LangSmith
  • Anthropic Claude
  • OpenAI
  • QA Automation

Возможные вопросы на собеседовании

Проверка практического опыта работы с фреймворками оценки ИИ, упомянутыми в вакансии.

Расскажите о вашем опыте внедрения фреймворков оценки LLM (например, DeepEval или Braintrust). С какими основными трудностями вы столкнулись при измерении галлюцинаций?

Вакансия предполагает создание стандартов для всей компании.

Как бы вы подошли к внедрению единых стандартов тестирования ИИ в нескольких продуктовых командах, которые привыкли работать по-своему?

Оценка навыков автоматизации и интеграции в процессы разработки.

Каким образом вы интегрируете автоматизированные проверки качества ответов LLM в CI/CD пайплайн, чтобы не замедлять процесс деплоя?

Проверка понимания гибридных методов оценки.

В каких случаях автоматизированных метрик (вроде RAGAS) недостаточно, и как вы проектируете процессы human-in-the-loop для дообучения моделей?

Проверка технического кругозора в области современных ИИ-инструментов.

Какие метрики вы считаете наиболее критичными для оценки производительности ИИ-агентов в контексте CRM-системы?

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