Full-Stack Engineer at Asari AI
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

04 May, 25

Salary

250000.0

Posted On

04 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Computer Software/Engineering

Description

BUILD AI TO CO-INVENT THE FUTURE

We’re a passionate team building AI agents that help people design and make new products, services, and discoveries. We want to build AI that helps us solve the world’s hardest problems and that people can interact with seamlessly.
Our team has published award-winning AI research and includes alumni / Professors from Caltech, UT Austin, and others. We’re backed by top-tier investors and partners: Eric Schmidt (former CEO of Google and former Executive Chairman of Alphabet), Caltech, Jeff Dean (Chief Scientist, Google DeepMind and Google Research), JP Millon, and others.
To achieve our mission, we strive for excellence, focus, and impact in everything. We value thinking from first principles, learning fast, and getting things done.
Above all, we cultivate a place of personal and collective growth, proactive ownership, sharing the ups and downs, and achieving great things together.
If this appeals to you and you want to build AI for the future, come work with us!
Join us as a Full-Stack Engineer and play a critical role in shaping cutting-edge AI applications. We seek world-class engineers with a track record of exceptional achievement and the potential to grow into top-tier technical leaders. You’ll work across the stack to build scalable, intelligent systems, remove bottlenecks, and accelerate innovation.

Responsibilities
  • Own end-to-end development of core features, from frontend UI to backend services and databases.
  • Design, build, and maintain scalable, high-performance web applications that integrate seamlessly across the stack.
  • Work with modern frontend frameworks (e.g., React, Vue, or Svelte) to build dynamic and responsive user interfaces.
  • Develop and optimize RESTful, WebSocket, and GraphQL APIs to support real-time and batch data processing.
  • Architect and implement efficient database schemas and data storage solutions.
  • Ensure code quality, reliability, and security through automated testing, code reviews, and CI/CD best practices.
  • Optimize performance at both frontend and backend levels, ensuring smooth user experiences.
  • Collaborate with product, design, and engineering teams to deliver intuitive and high-quality features quickly.
  • Maintain and enhance cloud infrastructure (e.g., AWS, GCP, or Azure) to ensure scalability and reliability.
  • Stay up to date with emerging technologies and best practices to keep our tech stack cutting-edge.
  • Familiarity with AI/ML is a plus but not required. If interested, you’ll have opportunities to work on AI-driven features.
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