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- США
- Зарплата
- 177 185 $ – 364 795 $
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Staff Software Engineer, Agent Foundations
Это исключительная возможность для инженера высокого уровня работать над передовыми технологиями в стабильной и известной компании. Высокая зарплата, работа с AI-агентами и гибкий график (PinFlex) делают вакансию крайне привлекательной.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний в области AI-агентов и бэкенда, но и развитых лидерских качеств для управления кросс-функциональными инициативами. Высокая планка ожиданий по опыту (7+ лет) и специфические требования к работе с LLM-инфраструктурой делают отбор очень строгим.
Анализ зарплаты
Предлагаемый диапазон ($177k - $365k) полностью соответствует и даже превышает рыночные стандарты для позиции Staff Engineer в США, особенно учитывая дополнительные бонусы в виде акций. Верхняя граница диапазона характерна для топовых технологических компаний (Tier-1).
Сопроводительное письмо
I am writing to express my strong interest in the Staff Software Engineer, Agent Foundations position at Pinterest. With over 7 years of experience in building scalable backend systems and a deep focus on agentic workflows and LLM infrastructure over the past two years, I am excited by the opportunity to define the technical roadmap for your agent platform. My background in architecting high-availability systems using Kubernetes and Docker, combined with a hands-on approach to agent evaluation and memory management, aligns perfectly with Pinterest's mission to bring inspiration through AI.
In my previous roles, I have led cross-functional initiatives to integrate AI into production environments, ensuring both technical rigor and operational excellence. I am particularly impressed by Pinterest's transparent AI interview philosophy and your commitment to using AI as a collaborative partner. I am eager to bring my expertise in system design and my passion for emerging agent technologies to help Pinterest scale its next generation of intelligent experiences.
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Описание вакансии
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We are looking for bold, technically deep Staff Backend Software Engineers to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll play a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will design and build the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of Agent capabilities. You will guide and empower engineering teams across the company, shaping how we build with and for agents at scale. Because we believe that transformative progress requires both technical rigor and courageous vision, you'll be invited to set direction, drive alignment, and lead initiatives from inception through technical design, implementation, and release.
What you'll do:
- Define the technical direction and roadmap for Pinterest's agent platform, including critical components such as agent serving, evaluation, monitoring, and tool calling.
- Design and build scalable, highly available infrastructure that supports production-grade agent services operating at company scale.
- Partner with and advise internal product and engineering teams on agent tech stack needs, shaping the future vision of the agent platform.
- Lead day-to-day technical alignment across teams, driving execution on key agent infrastructure investments and complex cross-functional platform initiatives.
- Use AI to accelerate system design, prototyping, and technical decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
- Synthesize emerging research and advances in agent technology, translating breakthroughs into actionable platform improvements.
What we're looking for:
- 2+ years of experience building agent systems, with a strong understanding of core agent platform components such as memory, serving, evaluation, harnesses, and tool calling.
- 7+ years of experience building scalable, highly available backend systems, including designing and operating infrastructure that supports production-grade services at scale.
- Experience with cloud-native infrastructure and service deployment technologies such as Kubernetes and Docker, with a strong understanding of how to deploy and manage large-scale services reliably.
- Demonstrated technical leadership in setting roadmap and driving execution — including defining technical direction, leading engineering alignment, and partnering across teams to deliver complex platform investments.
- Demonstrated ability to use AI to accelerate development, system design, and decision-making, with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
- Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model.
#LI-HYBRID
#LI-AH2
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$177,185—$364,795 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
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Навыки
- Python
- Go
- Java
- Kubernetes
- Docker
- LLM
- AI Agents
- Backend Development
- System Design
- Cloud Infrastructure
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем для работы с ИИ-агентами.
Опишите архитектуру платформы для агентов, которую вы проектировали: как вы решали вопросы памяти (memory) и вызова инструментов (tool calling) в масштабе?
Оценка навыков обеспечения качества в недетерминированных системах.
Какие метрики и подходы вы считаете наиболее эффективными для оценки (evaluation) и мониторинга производительности LLM-агентов в продакшене?
Проверка лидерских качеств и умения влиять на техническую стратегию компании.
Расскажите о случае, когда вам нужно было убедить несколько команд принять новое техническое решение или стандарт. Как вы добивались консенсуса?
Оценка практического использования AI-инструментов в работе инженера.
Как вы используете AI для ускорения собственной разработки и проектирования систем, и как вы верифицируете корректность сгенерированного кода или архитектуры?
Проверка навыков работы с высоконагруженной инфраструктурой.
С какими основными проблемами масштабирования вы сталкивались при развертывании сервисов в Kubernetes и как вы их решали?
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- Страна
- США
- Зарплата
- 177 185 $ – 364 795 $