Ingegnere Full Stack
Descrizione dell'offerta
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.