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Principal AI Engineer - AI Tutor
Высокий балл за работу в лидирующей EdTech компании над инновационным продуктом. Отличные бенефиты, удаленный формат и возможность влиять на будущее образования.
Сложность вакансии
Роль требует глубокой экспертизы в LLM и агентных архитектурах, а также умения создавать кастомные метрики оценки. Высокая сложность обусловлена необходимостью совмещать передовые исследования в ИИ с педагогическими принципами.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции уровня Principal в международной компании уровня DataCamp рыночные ожидания значительно выше среднего. В США и ОАЭ компенсация будет стремиться к верхней границе указанного диапазона.
Сопроводительное письмо
I am writing to express my strong interest in the Principal AI Engineer position for the AI Tutor project at DataCamp. With a deep background in building complex LLM-based systems and a passion for educational technology, I am inspired by your mission to solve Bloom's 2 Sigma Problem through agentic workflows and adaptive learning.
In my previous experience, I have specialized in designing custom evaluation frameworks for generative models and implementing robust prompt architectures that go beyond simple chat interfaces. I am particularly drawn to DataCamp's commitment to data-driven decision-making and the challenge of translating pedagogical goals into real-time, scalable AI behaviors. I am confident that my technical expertise in Python and my focus on elegant system design will contribute significantly to evolving your core AI tutoring system.
Составьте идеальное письмо к вакансии с ИИ-агентом

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Присоединяйтесь к DataCamp и создайте ИИ-тьютора будущего, который изменит подход к обучению для миллионов людей!
Описание вакансии
About DataCamp
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.
About the role
Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.
We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAE
About you
At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!
Responsibilities
- Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.
- Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.
- Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.
- Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.
- Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence.
- Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.
- Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.
Qualifications
Technical
- 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.
- Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.
- Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.
- Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.
Product & Pedagogy
- Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.
- Ability to reason holistically across AI behavior, content structure, platform features, and user experience.
- Familiarity with learning science or a desire to develop expertise.
Character & Collaboration
- Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.
- Preference for elegance and simplicity in system design.
- Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.
Why Datacamp?
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:
- Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.
- Competitive compensation: We offer a competitive salary with attractive benefits.
- Flexibility: Benefit from flexible working hours because the future is flexible!
- Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.
- Global retreats: Participate in international company retreats, fostering a global team spirit.
- Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.
- Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- LLM
- Prompt Engineering
- Agentic Workflows
- CI/CD
- Cloud Computing
- Machine Learning Evaluation
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM и понимания их ограничений.
Расскажите о самом сложном агентном ворклоу (agentic workflow), который вы проектировали: с какими проблемами зацикливания или галлюцинаций вы столкнулись и как их решили?
Оценка навыков тестирования ИИ-систем, что критично для образовательного продукта.
Как бы вы спроектировали систему оценки (evaluation framework) для ИИ-тьютора, чтобы измерить именно прогресс в обучении студента, а не просто корректность ответов модели?
Проверка архитектурного мышления и навыков масштабирования.
Как обеспечить низкую задержку (latency) в реальном времени для адаптивного ИИ-тьютора при сохранении сложной логики рассуждений?
Оценка способности работать на стыке технологий и продукта.
Как вы будете балансировать между 'свободой' ИИ в общении и строгими педагогическими рамками учебного курса?
Проверка навыков работы с инфраструктурой.
Опишите ваш опыт внедрения CI/CD для LLM-систем: как вы автоматизируете регрессионное тестирование промптов?
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