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Staff/Lead LLM Data Scientist (Bangkok based, relocation provided)
Отличная вакансия от мирового лидера индустрии с полной поддержкой релокации, возможностью работать над новым продуктом с нуля и конкурентной компенсацией.
Сложность вакансии
Высокая сложность обусловлена требованиями к уровню Staff/Lead, необходимостью глубоких знаний в области LLM-агентов и RAG, а также готовностью к релокации в Таиланд.
Анализ зарплаты
Зарплата для позиций уровня Staff/Lead в Бангкоке в международных компаниях уровня Agoda обычно значительно выше среднего по рынку Таиланда и сопоставима с европейскими ставками при более низкой стоимости жизни.
Сопроводительное письмо
I am writing to express my strong interest in the Staff/Lead LLM Data Scientist position at Agoda. With a robust background in building production-grade machine learning systems and a deep fascination with the evolving landscape of Large Language Models, I am eager to contribute to the development of your Personal Travel Assistant. My experience in designing end-to-end ML solutions aligns perfectly with Agoda's mission to simplify trip planning through innovative technology.
In my previous roles, I have successfully translated ambiguous product requirements into scalable technical architectures, balancing performance with cost-efficiency. I am particularly drawn to this role because of the opportunity to work on a product that operates at Agoda's scale, directly impacting millions of users. I am confident that my expertise in RAG, agent orchestration, and rigorous evaluation frameworks will help drive the success of your LLM-powered initiatives.
Составьте идеальное письмо к вакансии с ИИ-агентом

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Описание вакансии
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know Our Team
Agoda, part of Booking Holdings, we're building a Personal Travel Assistant — an LLM powered product that plans trips end-to-end and enables users to seamlessly book flights, hotels, and activities, all in one experience.
This is a new product built from the ground up, operating directly in real booking flows at Agoda scale. You'll have real ownership over how the system is designed, built, and evolved, with the freedom to make meaningful technical and product decisions from day one.
This role is ideal for senior Data Scientists or ML practitioners who enjoy owning complex systems end-to-end and working at the intersection of ML, product, and engineering.
What You'll Do
- Own end-to-end LLM systems: Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book.
- Turn ambiguity into production solutions: Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment.
- Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience.
- Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale.
What We're Looking For
- Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation.
- LLM systems and evaluation: Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context and memory management), with a strong focus on evaluation, testing, and iteration — or the ability to ramp up quickly in parts of this space.
- Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve.
Why This Role
- Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them.
- High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes.
- Direct influence: Play a key role in both implementation and product direction.
- Competitive compensation: Flexible leveling with compensation aligned to experience and impact.
If you’re excited about building real-world AI products at scale and owning systems that directly impact millions of travelers, we’d love to hear from you
We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
Discover more about working at Agoda
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
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Навыки
- Python
- Machine Learning
- LLM
- Statistics
- RAG
- Feature Engineering
- Data Science
- Orchestration
Возможные вопросы на собеседовании
Проверка практического опыта работы с ограничениями LLM в реальных продуктах.
Как бы вы спроектировали систему оценки (evaluation) для LLM-агента, который планирует сложные поездки, чтобы гарантировать точность и безопасность бронирований?
Оценка навыков оптимизации стоимости и производительности.
Какие стратегии вы бы использовали для минимизации задержки (latency) и стоимости токенов в системе, требующей многошагового планирования?
Проверка архитектурного мышления.
Опишите ваш опыт проектирования систем с использованием RAG: как вы решали проблемы актуальности данных и галлюцинаций?
Оценка лидерских качеств и взаимодействия с бизнесом.
Расскажите о случае, когда вам пришлось принимать сложное техническое решение, идущее вразрез с первоначальными требованиями продукта. Как вы аргументировали свою позицию?
Проверка навыков работы с инструментами и API.
Как эффективно организовать вызов внешних API (tool use) внутри LLM-цепочки, чтобы обеспечить надежность при работе под высокой нагрузкой?
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