- Страна
- США
- Зарплата
- 180 000 $ – 200 000 $
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Sr. Applied AI Engineer
Отличная вакансия с прозрачной и высокой зарплатой, удаленным форматом и современным стеком. Компания имеет сильную культуру и работает с известными брендами, что гарантирует интересные задачи и профессиональный рост.
Сложность вакансии
Роль требует глубокой экспертизы: более 6 лет опыта в Python и минимум 2 года работы с LLM в продакшене. Высокая планка обусловлена необходимостью самостоятельно проектировать архитектуры (RAG, LangChain) и работать в условиях неопределенности.
Анализ зарплаты
Предлагаемая зарплата в $180k-$200k полностью соответствует рыночному уровню для Senior AI ролей в США. Верхняя граница диапазона даже немного превышает медиану для удаленных позиций в компаниях среднего размера.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Applied AI Engineer position at Cordial. With over 8 years of experience in Python development and a proven track record of building production-grade applications using LLMs, RAG architectures, and orchestration frameworks like LangChain, I am excited about the opportunity to contribute to your AI strategy. My background in shipping scalable services and my deep curiosity for frontier AI models align perfectly with Cordial's mission to bring more humanity and empathy to marketing through thoughtful communication.
Throughout my career, I have thrived in ambiguous environments, turning complex data challenges into actionable product features. I am particularly impressed by Cordial's commitment to transparency and collaboration, and I am eager to bring my expertise in LLM integration and NoSQL/RDBMS optimization to your talented engineering team. I look forward to the possibility of discussing how my technical skills and passion for applied AI can help drive revenue growth and innovation for your clients.
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Описание вакансии
ABOUT CORDIAL
We founded Cordial in 2014 on the belief that there should be more humanity and empathy in marketing—both in how brands communicate with their customers and in how technology companies work with brands. We built our company and platform purposefully, driven by a desire to inspire more thoughtful communication and to create experiences that feel more personal and human—for consumers, for the people at the companies we work with, and for Cordial employees. Today, brands like PacSun, Revolve, Abercrombie & Fitch, Realtor.com, L.L. Bean and Forbes rely on Cordial to drive revenue growth by sending a better message.
We chose the name Cordial to symbolize how we empower our clients to communicate with their customers, as well as how we do business: with transparency, collaboration, and trust. We're building a passionate team of individuals willing to learn, grow, and be thoughtfully challenged on a daily basis to continuously improve our product, company, and culture every single day.
OUR VALUES
- Communicate better than the rest
- Own it, every time
- Solve client problems tenaciously
- Make Waves
POSITION SUMMARY
We are looking for an experienced and ambitious builder to join our team in the role of Senior Applied AI Engineer. In this role, you will be a primary contributor to our suite of AI capabilities within the Cordial platform. You will work to pull in frontier AI work to help our customers be more efficient and leveraged within the platform.
YOU WILL
- Be a primary contributor to our AI strategy, helping design and productize AI-powered solutions
- You’ll dive into massive datasets with the autonomy to choose what you work on and the ownership to turn ideas into real-world results for our clients.
- Serve as an expert sounding board on approaches and techniques for integrating LLMs into production applications
- Work in partnership with product management to drive compelling AI solutions and features
- Continuously explore and implement innovative approaches using frontier AI models to solve complex business challenges
ABOUT YOU
- 2+ years of professional experience building production applications with LLMs and AI technologies
- 6-8+ years experience with Python
- Track record of shipping and maintaining production services at scale
- A deep curiosity and excitement for where AI and applied AI systems are headed
- Experience building with LLMs (OpenAI, Anthropic, etc), prompt engineering, and RAG architectures in a professional setting
- Experience with LLM orchestration frameworks (LangChain, llamaindex) in a professional setting
- Experience with REST API development, NoSQL database design, and RDBMS design and optimizations in a professional setting
- Comfortable working in ambiguous environments and defining solutions to open-ended problems
COMPENSATION & BENEFITS
$180,000.00 - $200,000.00 base salary annually. The compensation range may be adjusted based on experience and location. In combination with the base salary, Cordial's compensation package includes equity and bonus, a robust benefit plan (medical/dental/vision/life), 401k match, and flexible time off. Additionally, we offer perks such as childcare and continued education yearly reimbursements. We pride ourselves in maintaining a healthy work/life balance, a strong dedication to DE&I efforts, and an overall respectful and open culture!
Cordial is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability status, sex (including pregnancy), age, gender, gender identity or expression, sexual orientation, marital status, veteran status, or any other characteristic protected by law.
Cordial is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
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Навыки
- Python
- LLM
- OpenAI
- Anthropic
- Prompt Engineering
- RAG
- LangChain
- LlamaIndex
- REST API
- NoSQL
- RDBMS
Возможные вопросы на собеседовании
Проверка практического опыта работы с ограничениями LLM в реальных продуктах.
Расскажите о самом сложном случае галлюцинаций LLM, с которым вы столкнулись в продакшене, и как вы его решили?
Оценка навыков проектирования сложных систем поиска информации.
Как бы вы оптимизировали RAG-систему для работы с огромными массивами данных Cordial, чтобы минимизировать задержки и повысить релевантность?
Проверка умения выбирать правильные инструменты под конкретные задачи.
В каких случаях вы предпочтете использование LangChain или LlamaIndex вместо написания кастомной логики взаимодействия с API моделей?
Оценка навыков работы с базами данных, что критично для Senior-позиции.
Какие стратегии оптимизации NoSQL баз данных вы применяли для высоконагруженных AI-сервисов?
Проверка продуктового мышления и понимания бизнес-ценности AI.
Как вы оцениваете эффективность внедренных AI-фич с точки зрения бизнес-метрик (например, ROI или вовлеченность пользователей)?
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- Страна
- США
- Зарплата
- 180 000 $ – 200 000 $