Founding Engineer-Vindexa

About the Role

Vindexa is seeking its first engineering hire to be the technical backbone of an AI-powered compliance platform for the clean energy industry. This role involves making architectural decisions, setting engineering standards, owning the codebase, and building AI-powered workflows. You will work directly with the CEO and operate with significant autonomy, leveraging AI coding tools as force multipliers.

Key Responsibilities

• Own the Product Engineering
• Architect, build, and ship full-stack features across a React/TypeScript frontend and Supabase/PostgreSQL backend.
• Write production-quality code, using AI coding tools to accelerate the development cycle.
• Make and defend architectural decisions, including data modeling, API design, security, performance, and scalability.
• Maintain code quality, testing standards, and documentation.
• Build AI Agents and Automation Workflows
• Design and implement AI agents and multi-step automation pipelines for document ingestion, payroll validation, issue detection, and remediation.
• Work with LLMs (e.g., Google Gemini, Claude) for intelligent extraction, classification, and validation.
• Build robust, observable, production-grade AI workflows with error handling, retry logic, audit trails, and human-in-the-loop checkpoints.
• Stay current on AI engineering trends and adopt relevant tools.
• Be the Engineering Standard
• Establish scalable patterns and practices for the growing team.
• Ensure rigorous security for data handling (PII, SSNs, payroll data), authentication, authorization, and audit logging.
• Instrument the system for logging, monitoring, error tracking, and performance.
• Eventually recruit, mentor, and lead additional engineers.

Requirements & Tech Stack

• Non-Negotiables:
• Genuinely AI-native engineer, proficient with AI tooling (e.g., Cursor, Windsurf, Claude Code).
• Strong full-stack capability: React/TypeScript frontend, Node/TypeScript or equivalent backend, comfortable with SQL and relational data modeling.
• Experience building production-grade AI agents and automation workflows.
• Strong architectural judgment.
• Security-minded approach to handling sensitive data.
• Independent operator.
• 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 (PDFs, Excel, Word, structured and unstructured data).
• Comfort working in new domains.
• Excitement about the clean energy transition.
• 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, Claude API, custom Edge Function agents
• Tooling: Cursor, Vercel, Resend, Linear, GitHub
• Testing: Vitest, React Testing Library, pgTAP

Qualifications

• This is not a role for someone who needs heavy direction or structured processes.
• This is a full-stack position, not purely frontend or backend.
• You will build and own AI work, not hand it off to a separate ML team.
• Fast-paced startup environment.

Compensation

• Meaningful equity upside with standard 4-year vesting and a 1-year cliff.
• Comparable acceleration protections will be discussed.
• Santa Monica office.