Remote. Long-term. 2-week paid trial. Indefinite contract after if it's a fit. Equity conversation at month 6 for strong performers. Senior Full-Stack + AI Engineer Pure engineering. No client-facing. Replacing a senior contractor who's rolling off. Stack: Python, FastAPI, Postgres, React, Next.js, TypeScript, Tailwind, Claude API (SDK + tool use + MCP), OpenAI, Nvidia Nemotron, VAPI, Twilio, Azure Speech, ElevenLabs, ffmpeg, Vercel, Docker, Hetzner, Azure. You'll thrive here if: You've shipped production FastAPI services AND React frontends — both You've integrated VAPI, Twilio, Vocode, or Retell in a real product You can read a slow query plan, rewrite the schema, and ship the migration the same day You've used ffmpeg from the CLI in a real product (not a tutorial) You don't need a PM — you read the ticket, ask one clarifying question, and ship Apply → https://docs.google.com/forms/d/e/1FAIpQLSfXWysJnNmeD62g-xh2W93y8QBuLYly7sPbqf7B1IcT9soZAQ/viewform Form has a Loom requirement built in. No Loom = automatic decline. Generic AI-generated answers get auto-rejected. I read every submission personally.

Today was less about “building a billion-dollar AI startup” and more about getting clarity on the actual problems businesses are willing to pay to solve. One thing I’m already realizing:Most businesses do not care about “AI.”They care about: - saving time - reducing repetitive work - getting more leads - responding faster - improving operations - making more money So instead of trying to create some flashy AI product immediately, I’m focusing first on identifying painful workflows that can realistically be automated. Today’s focus: - researching service-based business workflows - mapping repetitive operational tasks - exploring automation opportunities in lead management and follow-ups - studying where AI can create immediate ROI instead of “cool demos” I’m also starting to narrow down potential niches instead of trying to target everyone. One mistake I already want to avoid:Being another generic “AI agency” that offers everything to everyone. The goal is to build systems that businesses actually use consistently — not just impressive prototypes. Tomorrow I’ll start working on the first real automation concept and share the process publicly here.