Full Stack Software Engineer, Applied AI

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Full Stack Software Engineer, Applied AI San Francisco 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. OpenClaw 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, OpenClaw, Codex, Cursor) and feed that review back as training

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