Role overview
Zzazz
is a
US-based AI company
transforming how digital content is valued and monetized. Our breakthrough
Large Pricing Model (LPM)
turns content into a real-time tradable asset — dynamically assigning accurate market values based on billions of engagement signals, live user interactions, and real-time market data.
*Role: Own prompts and evaluation for AI that generates reliable React Native layouts/components—ideal for a data‑science‑leaning engineer who can read and reason about frontend code.
What you'll work on
- Design, test, and version prompts for React Native UI generation (components, props, styles, Flexbox).
- Build offline/online evaluation: golden sets, JSON/schema checks, visual/snapshot tests, and A/B experiments with clear metrics.
- Analyze logs and failure clusters; curate/label datasets and improve prompt chains, function/tool calling, and retrieval.
- Implement guardrails (prompt‑injection defenses, PII redaction) and reliability fallbacks.
- Partner with FE to integrate outputs; contribute light TypeScript/Python orchestration and test harnesses.
What we're looking for
- Expo, design tokens, and Figma‑to‑code workflows.
- Vector DBs/RAG, prompt eval tooling, and tracing/observability.
- Cloud/DevOps basics (Docker, GitHub Actions, Vercel/Netlify).
Tags & focus areas
Used for matching and alerts on DevFound Contract Ai Data Science Generative Ai