Lead Software Engineer
Lead the development of an AI-powered compliance platform as the first engineer, owning full-stack architecture, building AI agents for document processing and payroll validation, and establishing engineering standards for scalability and security.
About the job
What You Will Do
Own the Product Engineering
- Architect, build, and ship full-stack features across our React/TypeScript frontend and Supabase/PostgreSQL backend.
- Write production-quality code while moving at startup speed, using AI coding tools to dramatically compress the time between idea and shipped feature.
- Make and defend architectural decisions: data modeling, API design, security, performance, scalability.
- Maintain code quality, testing standards, and documentation without being told to.
Build AI Agents and Automation Workflows
- Design and implement AI agents and multi-step automation pipelines that power our compliance engine: document ingestion, payroll validation, issue detection, remediation workflows.
- Work with LLMs (currently Google Gemini and Claude) to build intelligent extraction, classification, and validation systems.
- Build robust, observable, production-grade AI workflows with proper error handling, retry logic, audit trails, and human-in-the-loop checkpoints.
- Stay current on the evolving AI engineering landscape and bring in the right tools as they mature.
Be the Engineering Standard
- Establish patterns and practices that will scale as we grow the team.
- Own security rigorously: data handling (PII, SSNs, payroll data), authentication, authorization, and audit logging are core to our value proposition.
- Instrument the system: logging, monitoring, error tracking, performance.
- Eventually recruit, mentor, and lead additional engineers as the team grows.
What We Are Looking For
Non-Negotiables
- Genuinely AI-native engineer: you live in Cursor, Windsurf, Claude Code, or equivalent. AI tooling is how you build, not a novelty.
- Strong full-stack capability: React/TypeScript on the frontend, Node/TypeScript or equivalent on the backend, comfortable in SQL and relational data modeling.
- Experience building AI agents and automation workflows in production -- not toy demos, but systems with real users and real consequences.
- Architectural judgment: you know when to move fast and when to slow down, when to abstract and when to hardcode, when to build and when to buy.
- Security-minded by default. Our customers share payroll data, SSNs, and financial records.
- Independent operator who needs direction on priorities, not on how to execute.
Strong Signals
- Experience with Supabase, PostgreSQL, and serverless/edge function architectures (Deno a plus).
- Demonstrated history of shipping meaningful software at startup pace.
- Experience with document processing pipelines: parsing PDFs, Excel, Word documents; working with structured and unstructured data.
- Comfort working in a domain you do not initially know deeply. Compliance and regulatory logic is learnable; the engineering fundamentals are not.
- Excitement about the clean energy transition.
The Current Stack
Frontend: React 18, TypeScript, Vite, Tailwind CSS, shadcn/ui, React Query, React Hook Form
Backend: Supabase (PostgreSQL, Auth, Storage, Edge Functions), Deno runtime, TypeScript
AI / Agents: Google Gemini (extraction, classification, chat), Claude API, custom Edge Function agents
Tooling: Cursor / AI coding agents, Vercel (frontend deploy), Resend (email), Linear (PM), GitHub
Testing: Vitest, React Testing Library, pgTAP (database)
Skills
React, TypeScript, Supabase, Postgres, Google Gemini, Claude, Deno, Tailwind, React Query, Vitest, AI Agents, LLMs, SQL, Node.js, Vite
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