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Staff AI Engineer - AI Creator
Оценка ИИВысокий балл обусловлен амбициозностью задачи (AI Tutor), сильным брендом DataCamp в сфере образования и отличным пакетом бенефитов, включая бюджет на обучение и международные ретриты. Вакансия предлагает работу на острие технологий AI.
Сложность вакансии
Оценка ИИРоль уровня Staff требует не только глубоких технических знаний в области LLM и агентных систем, но и способности самостоятельно принимать архитектурные решения в условиях неопределенности. Ожидается опыт вывода сложных AI-продуктов в продакшн и тесное взаимодействие с продуктовыми командами.
Анализ зарплаты
Оценка ИИЗарплата в объявлении не указана, но для позиции уровня Staff AI Engineer в Европе и США рыночные показатели значительно выше средних по IT-сектору. В США такие роли часто оплачиваются в диапазоне $180k-$250k+, в то время как в Европе (Бельгия, Португалия) вилка обычно ниже, но компенсируется бонусами и опционами.
Сопроводительное письмо
I am writing to express my strong interest in the Staff AI Engineer position at DataCamp. With a proven track record of building and shipping production-grade LLM-powered products, I am particularly drawn to your mission of solving Bloom's 2 Sigma Problem through an AI Tutor. My experience in designing agentic workflows and optimizing prompt architectures aligns perfectly with your goal of creating a personalized, world-class coaching experience.
In my previous roles, I have consistently demonstrated high ownership and a bias for action, moving from rapid prototyping to scalable production systems. I am excited by the challenge of translating pedagogical goals into technical solutions and look forward to contributing to a team that is pushing the boundaries of how AI can transform learning. I am confident that my technical expertise in Python and my passion for effective learning experiences will make me a valuable asset to the DataCamp engineering team.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в datacamp уже сейчас
Присоединяйтесь к DataCamp и создайте AI-тьютора нового поколения, который изменит процесс обучения для миллионов пользователей!
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’re building an AI Tutor that feels less like software and more like a world-class personal coach—guiding millions of learners in real time, adapting to their goals, and unlocking faster, deeper understanding at scale.. 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.
About you
You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution.
You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning.
Responsibilities
- Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors.
- Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance.
- Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability.
- Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design.
- Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact.
- Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale.
- Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews.
Qualifications
Technical
- Proven experience building and shipping LLM-powered products in production environments.
- Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions.
- Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements.
- Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments.
Product & Pedagogy
- Strong product instincts—able to connect model behavior to user experience and outcomes.
- Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that.
- Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions.
Character & Collaboration
- High ownership and bias for action—you move things forward without waiting for perfect clarity.
- Comfortable operating in fast-moving environments with evolving constraints.
- Clear communicator who contributes to a strong, low-ego engineering culture.
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
- Experimentation
- Scalable Systems
- Prototyping
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM в реальных условиях.
Расскажите о самом сложном случае внедрения LLM-агента в продакшн: с какими проблемами надежности вы столкнулись и как их решили?
Оценка навыков проектирования сложных систем взаимодействия.
Как бы вы спроектировали архитектуру промптов для AI-тьютора, который должен адаптироваться к уровню знаний студента в реальном времени?
Проверка умения работать с данными и метриками.
Какие метрики вы бы использовали для оценки эффективности обучения через AI-тьютора и как бы вы настроили процесс экспериментирования?
Оценка инженерной культуры и навыков код-ревью.
На что вы обращаете внимание при ревью кода, использующего вызовы внешних API моделей, с точки зрения масштабируемости и стоимости?
Проверка соответствия ценностям компании (ownership).
Опишите ситуацию, когда требования к продукту были размыты. Как вы структурировали работу и довели проект до релиза?
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