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Delphi

AI-powered digital cloning for learning

Full Stack Engineer - Product

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • The candidate must have a proven ability to build products end-to-end and take large initiatives from concept to launch.
  • The candidate must have deep proficiency in TypeScript and Next.js, as well as Python, with hands-on experience in the core technology stack.
  • The candidate must understand SQL, database design, cloud infrastructure, and containerization for scalable systems.
  • The candidate must have experience with systems architecture and application programming interface design, including queues, caching, background tasks, resilience, and self-healing patterns.
  • The candidate must have experience integrating large language models through application programming interfaces.
  • The candidate must demonstrate empathy for users and effective communication skills to ensure delivery matches the idea.

Responsibilities

  • Own digital mind studio creator tools, text, voice, and video interaction experiences, and consumer discovery platforms from concept to launch.
  • Design scalable Next.js, Python, and Amazon Web Services solutions with durable data models and efficient database structures that support rapid growth and millions of interactions.
  • Navigate frontend React development, backend architecture, database optimization, and cloud infrastructure deployment.

Desired Qualifications

  • Prompt engineering experience and deep knowledge of large language model optimization.

About the Company

Delphi

AI-powered digital cloning for learning

Delphi creates AI-driven digital clones of real people to enable users to learn from or seek advice from those copies. The platform builds these digital replicas by using large language models and web search against publicly available information to generate responses. Access starts with a free tier for basic interactions, while premium subscriptions unlock deeper, more personalized conversations with the clones. Delphi differentiates itself by focusing on expert learning from specific individuals, role models, or historical figures, rather than general chat. The goal is to provide personalized learning and guidance at scale, while clearly stating that clone responses do not represent real-time opinions of the actual person and are not impersonations.

Company size
11-50
Company stage
Series A
Total funding
$18.7M
Headquarters
San Francisco, CA
Founded
2022

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