Full Stack Software Engineer, Applied AI

We Love AI Jobs; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Wonderschool in San Francisco is seeking a seasoned Full Stack Software Engineer to build AI-driven development workflows and ship full-stack features. You will review AI-generated code, improve agent workflows, and create tools that empower non-engineering teams.

This is an on-site role requiring strong ownership and collaboration. You will work across the frontend and backend, using React/TypeScript and Node.js with Postgres, contributing to a fast-moving platform for childcare providers and

Qualifications

• 5+ years of experience as a full stack engineer.
• Hands-on experience with AI coding agents in a real development workflow.
• Strong product instincts to translate signals into technical requirements.
• Proficiency with React/TypeScript and a backend language.
• Experience with Postgres or similar relational databases.
• High ownership mentality and clear communication.

Responsibilities

• Review and iterate on AI-generated code and feed feedback as training signals.
• Architect the codebase for AI legibility and robust documentation.
• Build and maintain the automated product pipeline from signals to deployment.
• Ship full-stack features and workflow tools for product and internal teams.

Skills

Claude Code

OpenClaw

Codex

Cursor

React

TypeScript

Node.js

Postgres

Job description

# Full Stack Software Engineer, Applied AIWonderschoolSan FranciscoFull-time$140,000+ / yearAI tools:Claude CodeOpenClawCodexCursorUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageBuild 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 expertiseClaude CodeOpenClawCodexCursorReactTypeScriptNode.jsPostgres### 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 comparesCompared 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 descriptionAbout WonderschoolWonderschool 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 VisionThe 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 DoOwn 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 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 fixEnable the Business, Not Just the Product• Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets• Translate what internal teams need into automated, reliable systems• Help non-engineers understand what is possible and then make it happenShip Full-Stack Product• Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath• Own the full lifecycle from requirements to production• Debug issues across the entire stackStay Close to What Is Live• Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior• This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. Getting there takes commitment.Required Qualifications• 5+ years of experience as a full stack engineer• Hands-on experience with AI coding agents (Claude Code, OpenClaw, Codex, Cursor, or similar) in a real development workflow• Strong product instincts: you can take ambiguous user signals and turn them into concrete technical requirements without heavy PM support• Proficiency with React/TypeScript and at least one backend language (Node.js, Elixir, Ruby on Rails, or similar)• Experience with Postgres or similar relational databases• High ownership mentality: you do not wait to be told something is broken• Clear, direct communication skills, written and verbal