Ingegnere Full Stack

Hello!

We're a stealth startup building LLMAffiliate: a system that helps the "scraped web" get monetized in the LLM era. When a LLM scrapes a website, the monetization get lost. Without monetization, contents degrade, training data end and internet becomes a AI Slop. We're on a mission to save the internet! About the Role We're looking for a Full Stack Engineer who can build end-to-end product features across backend + frontend, understands the server/deployment side, and is comfortable experimenting with prompts and LLM integrations. Responsibilities Backend (Python/Node) Build and maintain services/APIs with REST/FastAPI. Integrate LLM providers and make pipelines reliable (timeouts, retries, caching, rate limits, logging). Design and optimize MongoDB data models (indexes, query performance, aggregations). Frontend (React) Build product UI and internal dashboards (admin/ops/publisher views). Ship clean UX to configure sources, view outputs, and track performance. Server / Deployment (pragmatic, not "pure DevOps") Deploy and operate services on servers (Docker, Linux basics, reverse proxy, env/secrets). Set up essential observability (logs, error tracking, basic monitoring). Prompt experimentation / LLM product work Iterate on prompts/templates. Add lightweight guardrails (output schemas, validation, "don't hallucinate formats", fallbacks). Qualifications What we're looking for You ship: you can take a feature from idea → implementation → production. You think in failure modes: you build resilient systems, not fragile demos. You can move fast without making the codebase unmaintainable. Required Skills Core stack: Python (FastAPI), Node.js, React, MongoDB Preferred Skills TypeScript, Next.js (or similar) Playwright/Puppeteer scraping + anti-bot basics + robust parsing Testing discipline (unit/integration), CI/CD, linting/typing RAG / vector DB familiarity (even high-level) Affiliate/tracking/attribution knowledge (even basic) Pay range and compensation package Contract based compensation + flexible setup (to be defined) + chance to transform the engagement into a long term contract.