- Страна
- США
- Зарплата
- 190 800 $ – 267 100 $
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на вакансии с ИИ

Senior Software Engineer, GenAI Platform
Отличная вакансия в топовой технологической компании с прозрачной и высокой оплатой, удаленным форматом работы и возможностью работать над передовыми GenAI технологиями.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям в области LLMOps, RAG и оркестрации Kubernetes на больших масштабах, а также необходимостью лидерства в разработке платформенных решений.
Анализ зарплаты
Предлагаемая зарплата ($190k - $267k) находится на верхнем уровне рыночных ожиданий для Senior AI Engineer в США, особенно с учетом дополнительных бонусов в виде акций (RSU).
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer position for the GenAI Platform at Reddit. With over five years of experience in Machine Learning Engineering and a proven track record of building scalable cloud-based AI systems, I am excited about the opportunity to contribute to Reddit's mission of bringing community and belonging to everyone. My background in developing LLM gateways and RAG applications aligns perfectly with your team's goals of enhancing content discovery and reliability.
In my previous roles, I have successfully implemented agentic AI workflows using LangChain and managed large-scale orchestration with Kubernetes and Terraform. I am particularly drawn to Reddit's focus on platform thinking and the challenge of managing rate limits and intelligent failover for internal and external LLMs. I am confident that my technical expertise in Python and Go, combined with my passion for LLMOps, will allow me to make an immediate impact on the Machine Learning Platform team.
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Откликнитесь в reddit уже сейчас
Присоединяйтесь к команде Reddit и создавайте будущее GenAI платформ для миллионов пользователей по всему миру!
Описание вакансии
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.
Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. Our mission is to bring community, belonging, and empowerment to everyone in the world. Reddit users submit, vote, and comment on content, stories, and discussions about the topics they care about the most. From pets to parenting, with over 100,000 active communities and over 70 million daily active users, it is home to the most open and authentic conversations on the internet. For more information, visit redditinc.com.
Who We Are: The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:As a Senior Software Engineer, you will lead the development of a large-scale GenAI Platform at Reddit.
- Contribute to the design, implementation, and maintenance of the LLM Gateway, focusing on features like unified API endpoints for internal/externally hosted LLM, rate/token limit management, and intelligent failover mechanisms to boost uptime and reliability.
- Designed and developed ML and Generative AI systems in cloud-based production environments at scale.
- Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
- Implement and operationalize agentic AI workflows with tool use using frameworks such as LangChain and LangGraph.
- Drive adoption of MLOps / LLMOps practices, including CI/CD automation, versioning, testing, and lifecycle management.
- Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.
- Strong ownership mindset and platform thinking.
- Ability to lead AI platform delivery from concept to production.
Who You Might Be:
- 5+ years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment roles.
- Have experience operating orchestration systems such as Kubernetes at scale
- Deep experience with cloud-based technologies for supporting an ML platform, including tools like AWS, Google Cloud Storage, infrastructure-as-code (Terraform), and more
- Proficiency with the common programming languages and frameworks of ML, such as Go, Python, etc.
- Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
- Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the genAI product development lifecycle.
- Strong knowledge of model serving, inference pipelines, monitoring, and observability for AI systems is a plus
- Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch is a plus
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800—$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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Навыки
- AWS
- Python
- Terraform
- PyTorch
- LLM
- Kubernetes
- MLOps
- RAG
- TensorFlow
- Generative AI
- Go
- LangChain
- LangGraph
- Google Cloud Storage
Возможные вопросы на собеседовании
Проверка опыта работы с высоконагруженными системами и понимания архитектуры LLM-шлюзов.
Как бы вы спроектировали систему интеллектуального переключения (failover) для LLM Gateway, чтобы минимизировать задержки при отказе основного провайдера?
Оценка практических навыков работы с современными методами извлечения данных.
С какими основными проблемами вы сталкивались при масштабировании RAG-приложений и как вы оптимизировали поиск в векторных базах данных?
Проверка понимания жизненного цикла разработки AI-продуктов.
Опишите ваш подход к внедрению практик LLMOps для мониторинга качества ответов моделей в реальном времени.
Оценка навыков работы с инфраструктурой.
Расскажите о вашем опыте управления ресурсами в Kubernetes для задач машинного обучения с использованием GPU или специфических лимитов.
Проверка способности работать с инструментами автоматизации AI.
В каких случаях вы бы предпочли использование LangGraph вместо стандартных цепочек LangChain для реализации агентских воркфлоу?
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- Страна
- США
- Зарплата
- 190 800 $ – 267 100 $