обновлено 7 дней назад
Full Stack Engineer (D2C) (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Engineer (D2C) (AI) (Ruby on Rails/React): Building scalable, AI-powered real estate product experiences with an accent on Ruby on Rails backend services, React applications, and intelligent workflow automation. Focus on integrating LLM capabilities, architecting service-oriented systems with AI components, and operating reliable production features through testing and observability.
Location: San Francisco, CA, United States
Company
is a real estate technology platform helping homebuyers and sellers connect with top agents, secure mortgages, and complete transactions.
What you will do
- Build scalable, AI-powered product experiences with engineers, product managers, designers, and cross-functional partners.
- Design, implement, and maintain performant backend services using Ruby on Rails.
- Build responsive frontend applications with React and, where applicable, React Native.
- Integrate LLM-powered features, intelligent automation, semantic search, copilots, and workflow agents into business processes.
- Architect service-oriented systems combining model APIs, orchestration layers, and evaluation loops.
- Improve code quality through refactoring, automated and system testing, deployment automation, code reviews, and production monitoring.
Requirements
- 2+ years of professional software engineering experience.
- 2+ years of production experience with Ruby on Rails and 2+ years of experience with React or React Native.
- Hands-on experience building or integrating AI-powered features into business workflows.
- Experience designing, deploying, operating, and maintaining service-oriented architectures.
- Strong experience with relational and non-relational databases, observability, and monitoring systems such as New Relic, CloudWatch, or Sentry.
- Strong written and verbal English communication skills.
Nice to have
- Experience with AI copilots, intelligent automation, vector databases, embeddings, semantic search, or retrieval patterns.
- Exposure to Elasticsearch, Docker, containerized environments, or the Amazon AWS ecosystem.
- Experience with React Native or contributions to AI-related side projects and open-source initiatives.
- Experience working in a small, fast-moving team or startup.
Culture & Benefits
- AI is embedded in the product strategy and engineering culture.
- Engineers are encouraged to experiment, prototype, and improve workflows through intelligent automation.
- The role contributes to shaping AI implementation across the organization.
- is committed to an inclusive and diverse workplace free from discrimination and harassment.
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