If you can use AI to move faster (not to skip thinking), and you love turning messy ops data into clean, decision-ready dashboards, let’s talk.
What You’ll Do:
- Build internal dashboards that leaders actually use (React + TypeScript).
- Wire APIs & services (Node.js), model data (MySQL & MongoDB), and ship fast.
- Treat AI as leverage: prompt, chain, and integrate LLMs to automate grunt work.
- Own problems end-to-end: scope → ship → iterate with real user feedback.
Our Stack (must-Have):
- React, TypeScript, Node.js, MySQL, MongoDB.
- Nice-to-have: Prisma/TypeORM, Recharts/ECharts, Docker, AWS/GCP, Slack bots, LangChain/OpenAI/Claude.
Why This Is Worth Your Time (beyond the Stipend):
- Ship to production in week one; see your work used daily by ops & leadership.
- Learn full-stack product thinking, data modeling, and “build-for-ops” UX.
- Mentorship, code reviews, and a bias for shipping. PPO potential for stars.
You’ll Thrive Here if You:
- Prototype in hours, not weeks.
- Know when AI is wrong—and prove it with data.
- Communicate clearly with non-tech teammates (ops, sales, finance).
How to Apply (quick Task):
- Share a link to any dashboard you’ve built OR build a tiny demo:
- React + TS page with 2 charts and 1 table from a public JSON (or mocked data).
- README should explain your data model & trade-offs in 5 bullets.
- Add GitHub + resume + 3 lines on a time AI suggested the WRONG answer and how you caught it.
