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Staff AI Engineer - AI Creator
Оценка ИИDataCamp — лидер в своей нише с огромной базой пользователей, что гарантирует масштаб и влияние работы. Предложение включает отличные бонусы, гибкость и работу над социально значимым проектом на острие технологий ИИ.
Сложность вакансии
Оценка ИИРоль уровня Staff требует не только глубоких знаний LLM и агентных воркфлоу, но и способности самостоятельно проектировать сложные системы в условиях неопределенности. Высокая планка ответственности за архитектуру обучения и интеграцию ИИ в продукт делает эту позицию крайне сложной.
Анализ зарплаты
Оценка ИИУказанная роль Staff уровня в международной компании предполагает зарплату выше среднего по рынку Европы, соответствующую высоким требованиям к экспертизе в области Generative AI. В США и ОАЭ (Дубай) компенсация может быть значительно выше за счет рыночных коэффициентов и налоговых условий.
Сопроводительное письмо
I am writing to express my strong interest in the Staff AI Engineer position for the AI Creator project at DataCamp. With a proven track record of shipping LLM-powered products and a deep understanding of agentic workflows, I am excited by the prospect of solving Bloom's 2 Sigma Problem through scalable, real-time adaptive learning experiences. My background in Python and production-grade AI systems aligns perfectly with your mission to transform how 17 million learners acquire data skills.
In my previous roles, I have consistently demonstrated high ownership and a bias for action, moving from rapid prototyping to disciplined execution in fast-paced environments. I am particularly drawn to DataCamp's focus on turning knowledge into tangible impact, and I am eager to apply my expertise in prompt architecture and experimentation to drive measurable improvements in learning outcomes. I look forward to the possibility of contributing to your world-class engineering team.
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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 Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. 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!
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Навыки
- Python
- LLM
- Prompt Engineering
- Generative AI
- Agentic Workflows
- Software Engineering
- Experimentation
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM в продакшене.
Расскажите о самом сложном случае внедрения LLM-агента в реальный продукт: с какими проблемами надежности вы столкнулись и как их решили?
Оценка навыков проектирования сложных систем взаимодействия.
Как бы вы спроектировали архитектуру промптов для системы, которая должна адаптироваться под уровень знаний студента в реальном времени?
Проверка умения работать с данными и метриками.
Какие метрики, помимо точности модели, вы бы использовали для оценки эффективности ИИ-тьютора в долгосрочной перспективе?
Оценка инженерной культуры и качества кода.
Как вы обеспечиваете тестируемость и предсказуемость поведения стохастических ИИ-моделей в масштабируемой системе?
Проверка соответствия культуре 'high ownership'.
Опишите ситуацию, когда требования к продукту были размыты. Как вы принимали технические решения и двигали проект вперед?
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