Senior Full-Stack AI Engineer (Rails + React)

United States Digital Space LLC

United States

Remote

USD 130,000 - 140,000

Full time

8 days ago

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Job summary

Circle is seeking a strong full-stack engineer to help build AI-powered features across the platform, with Rails backend and React frontend. You'll work on AI agents, Retrieval-Augmented Generation, and infrastructure for LLM inference, focusing on hands-on AI capabilities and a strong experimentation mindset to rapidly test ideas and iterate on production use cases.

The role emphasizes autonomy, fast iteration, quality UX, and collaboration with product and design teams in a remote-first

Qualifications

  • 6+ years experience as a full-stack engineer on high-traffic production applications.
  • Proficiency in Ruby on Rails, MySQL/PostgreSQL, and ReactJS.
  • Hands-on experience building AI features in production (RAG systems, AI agents, or LLM-powered tools).
  • Strong experimentation mindset with experience in designing and running A/B tests.
  • Proficient English at CEFR C2 / ILR 5.

Responsibilities

  • Ship full-stack AI projects end-to-end on a product built with Ruby on Rails backend and React frontend.
  • Design and run experiments (A/B tests, AI evaluations) to validate features and guide iteration.
  • Build and integrate AI infrastructure components and optimize for production-level inference.
  • Improve processes, tools, and systems to scale AI features into production-ready solutions.
  • Stay up-to-date with cutting-edge AI research and tools.
  • Collaborate with Circle's leaders and designers throughout the feature design process.
  • Prioritize speed of iteration while maintaining code quality and user experience.

Skills

Ruby on Rails
MySQL / PostgreSQL
ReactJS
Full-stack engineering
Experimentation / A/B testing
CEFR C2/ILR5 English

Job description

Circle is seeking a strong full-stack engineer to help build AI-powered features across the platform, with Rails backend and React frontend. You'll work on AI agents, Retrieval-Augmented Generation, and infrastructure for LLM inference, focusing on hands-on AI capabilities and a strong experimentation mindset to rapidly test ideas and iterate on production use cases.

The role emphasizes autonomy, fast iteration, quality UX, and collaboration with product and design teams in a remote-first

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