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AI Product Engineer

Crux

Deutschland

Remote

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A tech startup in Germany is looking for a full-stack software engineer to build and ship innovative user-facing LLM products. You will collaborate with customers, take ownership of development from frontend to backend, and contribute to product frameworks. The ideal candidate has 2+ years of experience and is fluent in NextJS, React, and Typescript. Flexible and fast-paced environment offered.

Qualifikationen

  • 2+ years of full-stack software engineering experience.
  • Proven track record of building and shipping user-facing LLM products.
  • Experience in a fast-paced startup environment.

Aufgaben

  • Collaborate directly with customers to understand their needs.
  • Take ownership of the entire development lifecycle from frontend to backend.
  • Contribute to the definition of our AI product development framework.

Kenntnisse

Full-stack software engineering
User-facing LLM product development
NextJS
React
Typescript
UX decision making
Jobbeschreibung
Overview

We need someone with 2+ years of full-stack software engineering experience who has proven experience building and shipping user-facing LLM products.

You should be comfortable thriving in a fast-paced, early-stage startup environment and have a track record of building products from 0 to 1 with a focus on real user impact.

Bonus points if you are fluent in NextJS + React + Typescript, comfortable making UX decisions, and have experience iterating on a product through evals & CI/CD.

Responsibilities
  • Collaborate directly with customers to understand their needs and co-design processes and systems for high-quality AI products.
  • Build products from 0 -> 1, taking ownership of the entire development lifecycle from frontend to backend.
  • Pick the tools & frameworks we use, contributing to the definition of our AI product development framework.
  • Learn an insane amount about the nuts & bolts of clean energy finance, applying this domain knowledge to product development.
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