QA engineer

We build an LLM-based conversational assistant deeply integrated in the Edtech ecosystem. Aim to relieve teachers and admin workers of tedious "easy" questions so they can focus on important cases. Moving towards knowledge management and course support.

Early startup, small, tightly knit team (5 engineers, 2 implementation/process-focused folks, 1 sales guy, 1 marketing gal, 1 chill product-centered CEO). We're slowly scaling and expanding.

Stack (not crucial but you should at least be proficient in python):

• FastAPI python backend - MongoDB - Langchain for the AI aspects, slowly moving away from it - Next.js (react) frontend - AWS

Two main aspects to this: 1. Improve and expand our back-end tests; in particular, add E2E and integration tests 2. Manual QA as part of our release cycle, which you will then slowly automate with browser automation tools (selenium).

Experience requirements: ~bachelor level in relevant field & 1y+ of relevant QA experience OR ~3-4 years of highly relevant work experience.

Send e-mail at luca @ learnwise . ai with brief intro + CV :)