Full Stack Software Engineer, Applied AI

# Full Stack Software Engineer, Applied AI Wonderschool

San Francisco Full-time $140,000+ / yearAI tools:

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Build the systems that let AI agents help develop and operate Wonderschool’s childcare platform, while also shipping full-stack product features. You’ll review agent-generated code, improve agent workflows, and create tools that help non-engineering teams operate more independently.
* Permanent* On-site
* 5+ years### Skills and expertise

Claude Code Open Claw Codex Cursor React Type Script Node .js Postgres### Key responsibilities
* Review AI-generated code and use feedback to improve agent output over time.
* Build and maintain an automated product pipeline involving signals, requirements, code generation, and review.
* Ship full-stack features and workflow tools for product and internal teams.## How this job compares

Compared with 410 open senior machine learning jobs on October 10, 2026.Pay:
This job pays from $140K a year. The 143 open senior machine learning jobs that publish US pay start at $186K on average, so this job starts about 25% lower.

Similar open jobs:
We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.

Remote work:
This job is on site. 90 of the 410 senior machine learning jobs (22%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. The role centers on building and operating AI-driven development workflows, reviewing agent-generated code, and improving agents through feedback. AI coding agents are part of the required development workflow.## Full description

About Wonderschool Wonderschool builds software that helps small business owners earn more money. We started with childcare providers because it is a large, underserved market where technology can have an outsized impact on revenue. But the model scales: we are building a platform and a playbook that will expand into other verticals.

We are heavy users of AI. Open Claw agents run most of our operations: provider outreach, customer communications, enrollment workflows, compliance tasks. Non-engineers at Wonderschool spin up automations, cron jobs, and API workflows directly from Slack, without touching a line of code. We are now taking the next step: making AI agents reliable enough to build the product itself.

Our team is small and moves fast. We value engineers who are obsessed with outcomes, not process.

The Vision The North Star for this role: a system where a user signal (a provider revenue dropping, an enrollment bottleneck, a churn spike) automatically triggers a chain of AI agents that writes the product requirements, designs the solution, builds the code, reviews it, and ships it. No human in the loop for the routine stuff. Humans define what matters, train the agents, and review edge cases.

We are not there yet. You are the person who helps us get there, piece by piece.

What You Will Do Own the AI Development Loop
• Review and iterate on AI-generated code (from tools like Claude Code, Open Claw, Codex, Cursor) and feed that review back as training signal to make the agents better over time
• Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail
• Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit
• When agents break in production, you own the diagnosis and fix Enable the Business, Not Just the Product
• Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves,…