Full-Stack AI Engineer (AI-Native)

Overview We\'re AgentCollect. We collect overdue B2B invoices with AI agents instead of call centers. Real revenue, real enterprise clients, a small team that ships every single day. Stack The stack you\'ll work in: RetellAI voice agents, Twilio / Telnyx telephony, Stripe for payments and reconciliation, Laravel + React across the app and the debtor / client portals, PostHog for session analytics, and you direct AI tools (Claude Code, Cursor, agents) every day to ship. Language-agnostic: prior Laravel is a plus, not a gate, we hire people who ramp fast with AI. How we work We plan first, then iterate in code. We don\'t paste a prompt and hope. AI token cost is irrelevant to us. We\'d rather spend tokens and get it right than cut corners. We\'d much rather hear "I don\'t know yet, here\'s how I\'d find out" than a confident wrong answer. You own what you touch, end to end. Your first 90 days Day 30: you\'ve shipped real improvements to our voice agents, hardening the retry and human-handoff logic so fewer collection calls drop. Day 60: you own a system end to end, for example the PostHog session-replay detector that flags broken UX on the debtor and client portals before a user reports it. Day 90: you own a revenue-facing slice, for example the Stripe billing and reconciliation flow, and you\'re shipping to enterprise clients weekly. Who you are You\'ve shipped real production software (any stack). You actually direct AI tools, you don\'t just autocomplete with them. You reason about product, not just code. You ask the sharp question before you build. No 2-hour take-home to get in the door. We want to see how you START a problem: Open a project in plan mode (Claude Code, Cursor, or plan in writing) and record your screen for up to 5 minutes (no face cam needed). Plan how you\'d automatically catch a UX bug specific to AgentCollect from our PostHog session replays, before any user reports it. Tell us what you\'d need to know that you don\'t yet. Send us two links: a GitHub repo with your PLAN.md, and your screen recording. A sharp 5-minute plan beats a polished 2-hour submission that never framed the problem. If your plan is strong, we hand you real data and you build it for real. Full details and the exact problem are in the README: John, Founder, AgentCollect #J-18808-Ljbffr Reprompt AI, Inc.