Founding Backend Engineer for AI Social Node Python React

Alpha-Tx Solutions LLC

San Francisco (CA)

On-site

USD 180,000 - 300,000

Full time

14 days+

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Job summary

A leading AI startup in San Francisco is seeking a Lead Founding Backend Engineer to architect and implement the core backend systems for a consumer AI social platform. You will design high-performance infrastructure while collaborating on frontend features. The ideal candidate has 8-10+ years of engineering experience in Big Tech and is familiar with AI/ML infrastructures. Strong skills in Node.js and Python are essential, along with a startup mindset for complex project ownership. This role requires onsite work, offering a unique zero-to-one opportunity.

Qualifications

  • 8 to 10+ years of engineering experience, with at least 5 years in Big Tech or high-scale consumer apps.
  • Strong track record building and scaling systems to millions of users or #1 App Store status.
  • Startup mindset: autonomous, resourceful, and able to own complex projects end-to-end.

Responsibilities

  • Architect and implement the core backend systems for a consumer AI social platform.
  • Create resilient, high-performance infrastructure capable of supporting millions of users.
  • Develop real-time, low-latency data pipelines powering ML-driven personalization and recommendations.
  • Focus on backend while collaborating across frontend.

Skills

Node.js
Python
PostgreSQL
React
TypeScript
AI/ML infrastructure
AWS
GCP

Job description

A leading AI startup in San Francisco is seeking a Lead Founding Backend Engineer to architect and implement the core backend systems for a consumer AI social platform. You will design high-performance infrastructure while collaborating on frontend features. The ideal candidate has 8-10+ years of engineering experience in Big Tech and is familiar with AI/ML infrastructures. Strong skills in Node.js and Python are essential, along with a startup mindset for complex project ownership. This role requires onsite work, offering a unique zero-to-one opportunity.
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