Full Stack Engineer

Job Juncture

San Francisco (CA)

On-site

USD 150,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Equity with performance-based increases
Visa sponsorship available

Job summary

An innovative AI startup in San Francisco is seeking a Founding Full Stack Engineer to develop their core platform for autonomous AI agents. This role offers significant ownership and the chance to work on cutting-edge technology in a high-intensity environment. Ideal candidates have over 6 years of experience in full-stack development, strong skills in TypeScript and React, and a passion for AI. Competitive salary ranges from $150,000 to $220,000, with the potential for equity and visa sponsorship.

Qualifications

  • 6+ years of experience building full-stack products from scratch.
  • Strong systems design and backend architecture skills.
  • Experience with AI-driven systems or multi-agent workflows.

Responsibilities

  • Build the core platform where autonomous AI agents operate.
  • Design backend orchestration systems for AI collaboration.
  • Develop frontend interfaces for user interaction.

Skills

TypeScript
React
Next.js
Node.js
PostgreSQL
Systems design
AI-driven systems

Education

Computer Science degree

Job description

Founding Full Stack Engineer Applied AI company - San Francisco, In-Office)

Applied AI startup is hiring Founding Full Stack Engineers to build the core platform from the ground up. The company is developing autonomous AI agents that automate key business functions - think growth, market discovery, and product orchestration - with a bold long-term vision around using AI to systematically create and scale new ventures. They already have paying customers, a multi-year runway, and backing from a top-tier Silicon Valley venture fund that beat out several other elite firms for the deal.

The Opportunity

You’ll be on a small elite, high-intensity team. You’ll report directly to the CEO and have massive ownership over the product and technical architecture. Day-to-day, you’ll be building the full-stack infrastructure that powers AI agents across the growth stack - designing orchestration layers, event-driven workflows, and data pipelines, while also shipping polished frontend experiences. This is a true 01 role where every system you build becomes the foundation for what comes next.

Qualifications:

What You’ll Build

  • The core platform where autonomous AI agents operate - coordinating across tasks like content generation, ad optimization, market research, and campaign management
  • Backend orchestration systems that allow multiple AI agents to collaborate and execute reliably at scale
  • Frontend and generative interfaces that enable both internal teams and customers to interact with intelligent agents
  • End-to-end product features that ship directly to paying customers

What We’re Looking For

  • 36+ years of experience building full-stack products from scratch
  • Deep proficiency in TypeScript, React, Next.js, Node.js, and PostgreSQL – TypeScript is non-negotiable
  • Strong systems design and backend architecture skills
  • Experience or genuine curiosity with AI-driven systems, LLMs, multi-agent workflows, or calling AI APIs
  • Prior experience at a VC-backed startup or top tech company is required; FAANG is fine if paired with startup sensibilities
  • CS degree from a strong undergraduate program (especially important if you have ~4 years of experience)
  • Hackathon wins or notable side projects are a bonus
  • You move fast, think clearly, communicate well, and have a bias for action
  • Must be hands‑on – this is an IC role, not a management position

Compensation

  • Base salary: $150,000 $220,000 (up to $265K for exceptional candidates)
  • Equity with performance-based increases
  • Visa sponsorship available (H-1B transfers, O-1 visas, STEM OPT extensions)
Why is This a Great Opportunity:

The company is building AI agents that handle core business functions - from identifying market opportunities to executing growth strategies - so that new products and companies can be launched faster and with less manual effort.

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