yandex
klaviyo
Страна
США
Зарплата
148 000 $ – 222 000 $
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
SeniorГибридПолная занятость

Senior AI Engineer

Оценка ИИ

Отличная позиция в быстрорастущей компании с сильным брендом и огромным массивом данных. Высокая зарплата, работа с передовыми технологиями (AI Agents) и прозрачные условия компенсации делают вакансию крайне привлекательной.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний как в классической бэкенд-разработке (распределенные системы, Python), так и в специфических технологиях Generative AI и агентных архитектурах. Высокая планка ожиданий к опыту (5–7 лет) и работе с Big Data инструментами делает позицию сложной.

Анализ зарплаты

Медиана185 000 $
Рынок155 000 $ – 230 000 $
Оценка ИИ

Предлагаемый диапазон $148k – $222k полностью соответствует рыночным стандартам для Senior-позиций в Бостоне и США в целом. Верхняя граница диапазона даже несколько превышает медиану для аналогичных ролей в продуктовых IT-компаниях.

Сопроводительное письмо

I am writing to express my strong interest in the Senior AI Engineer position at Klaviyo. With over 6 years of experience in backend engineering and a proven track record of deploying generative AI applications into production, I am excited about the opportunity to help scale Klaviyo’s AI agent architecture for your 167,000+ customers. My background in building distributed systems with Python, FastAPI, and Celery, combined with hands-on experience in prompt engineering and model evaluation, aligns perfectly with your requirements for a backend-heavy AI role.

In my previous roles, I have focused on creating robust data pipelines and scalable services that bridge the gap between complex ML models and end-user applications. I am particularly impressed by Klaviyo's vision of software that optimizes itself based on outcome metrics. I am eager to bring my expertise in asynchronous processing and cloud-native architectures to your team to drive real-world impact and help creators own their destiny through intelligent automation.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в klaviyo уже сейчас

Присоединяйтесь к Klaviyo и создавайте будущее маркетинга с помощью передовых AI-агентов!

Описание вакансии

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Sr. AI Engineer at Klaviyo, you’ll play a key role in designing and building scalable backend systems and user experiences that power our AI products and AI agent solutions. You’ll partner closely with product managers, machine learning engineers, and data scientists, to drive real-world impact at scale. This is a backend-heavy role with opportunities to influence architecture, async processing pipelines, distributed systems, and more.

How You Will Make a Difference

  • Design and build backend systems that support scaling our AI solutions for 167K+ customers.
  • Develop robust, reliable and scalable data collection and processing pipelines for machine learning models to train and consume.
  • Develop robust, reliable and scalable services to serve AI models in production environments.
  • Contribute to evolving our agentic architecture — making our AI agents more self-sufficient and performant.
  • Contribute to a culture of ownership, experimentation, and customer-centric product thinking.

Who You Are

  • 5–7 years of professional experience in software engineering, with a strong focus on backend systems and distributed architectures.
  • Have hands-on experience building and deploying generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation.
  • Experienced backend engineer with a strong track record of building scalable, distributed systems, especially in the service of AI agent capabilities.
  • Proficient in Python and modern backend frameworks (FastAPI, Django preferred).
  • Experience creating human and automated evals to ensure high AI model quality.
  • Proficient in big data tools such as Apache Spark and Hadoop.
  • Deep experience with asynchronous processing and distributed task queues (Celery, Kafka, SQS, RabbitMQ, Redis).
  • Strong understanding of database technologies and ORMs (SQLAlchemy, Alembic).
  • Comfortable with cloud-native architectures (AWS) and container orchestration (Kubernetes); can manage infrastructure and CI/CD pipelines.
  • Skilled at designing and building robust APIs.
  • Able to operate with a high degree of autonomy, handle ambiguity, and thrive in a fast-moving, startup-like environment.
  • Driven by curiosity. You're someone who learns and stays up to date with this rapidly evolving field.
  • Comfortable collaborating directly with product managers and customers to shape solutions.

Nice to Have

  • Trained ML models in the past and deployed them in production systems to generate impact to businesses.
  • Experience in reinforcement learning.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Massachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.

In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:

$148,000—$222,000 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice.  If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.You can find our Job Applicant Privacy Noticehere and here (FR).

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • FastAPI
  • Django
  • Generative AI
  • Apache Spark
  • Hadoop
  • Celery
  • Kafka
  • AWS
  • Kubernetes
  • SQLAlchemy
  • Redis
  • Prompt Engineering
  • Distributed Systems

Возможные вопросы на собеседовании

Проверка опыта работы с основным стеком и понимания асинхронности.

Расскажите о вашем опыте проектирования распределенных систем обработки задач с использованием Celery или Kafka. С какими проблемами масштабирования вы сталкивались?

Оценка практических навыков в области LLM и AI-агентов.

Как вы подходите к проектированию системы оценки (evals) для генеративных AI-моделей, чтобы гарантировать качество ответов в продакшене?

Проверка навыков работы с данными, необходимых для обучения моделей.

Опишите ваш опыт работы с Apache Spark для подготовки данных для машинного обучения. Как вы обеспечиваете надежность пайплайнов?

Оценка архитектурного мышления в контексте AI.

В чем, по вашему мнению, заключаются основные сложности при переходе от простых вызовов LLM к полноценной агентной архитектуре (agentic architecture)?

Проверка умения работать в кросс-функциональной команде.

Приведите пример, когда вам приходилось тесно сотрудничать с Product-менеджерами для трансформации неопределенных требований в техническое решение для AI-продукта.

Похожие вакансии

roku
229 500 $ – 367 100 $

Senior Machine Learning Engineer, Platform

SeniorГибридСША
Java · Scala · Kotlin · Python · Spark · Kafka · Flink · S3 · Airflow · Ray · PyTorch · Hugging Face · AWS SageMaker · Distributed Systems · Machine Learning Infrastructure
+15 навыков
roku
Не указана

Senior Computational Linguist

SeniorГибридСША
Python · SQL · NLP · Machine Learning · Large Language Models · Generative AI · Linguistics · Spanish · Portuguese · Git
+10 навыков
inversionspace
140 000 $ – 165 000 $

Senior Software Engineer (Autonomous Systems)

SeniorВ офисеСША
C++ · Python · Rust · Autonomous Systems · Robotics · Aerospace · Telemetry · Control Systems · State Machines · Real-time Systems · Simulation
+11 навыков
maintainx
Не указана

Senior Applied Machine Learning Developer, Asset Intelligence

SeniorУдалённоКанада
Python · PyTorch · TensorFlow · AWS · Databricks · LLM · LangChain · LlamaIndex · Hugging Face · Docker · Kubernetes · MLflow · SageMaker · Time Series Analysis · Anomaly Detection · OCR · Reinforcement Learning · MLOps
+18 навыков
maintainx
Не указана

Développeur(euse) sénior en Apprentissage automatique, Maintenance prédictive

SeniorУдалённоКанада
Python · PyTorch · TensorFlow · Machine Learning · Time Series Analysis · Signal Processing · IoT · Statistical Modeling · Data Science · Fourier Transform
+10 навыков
cerebrassystems
Не указана

Senior ML Systems Engineer

SeniorВ офисеКанада
Python · C++ · PyTorch · TensorFlow · LLVM · MLIR · Deep Learning · Large Language Models · Compilers · Optimization · Reinforcement Learning
+11 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

klaviyo
Страна
США
Зарплата
148 000 $ – 222 000 $