Fullstack AI engineer for adaptive learning

StackFuel GmbH; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

StackFuel GmbH ищет опытного full-stack разработчика в Берлине. Вы будете разрабатывать адаптивную обучающую AI‑платформу и внедрять новые функции. Наша команда работает в гибридном формате: офис в Берлине три дня в неделю, удалённо по ЕС/ЕЭЗ и Турции до 10 дней в год.

Требуется глубокий опыт Python (FastAPI/Django) и TypeScript/React, а также знание PostgreSQL и Docker. Кандидат должен владеть английским на уровне бизнес‑уровня и демонстрировать умение принимать архитектурные решения и работать

Qualifications

• 5+ лет опыта в full-stack разработке с архитектурной ролью.
• AI‑first подход и использование AI‑инструментов в повседневной работе.
• Опыт разработки на Python и TypeScript/React.
• Уверенная работа с PostgreSQL и миграциями.

Responsibilities

• Разрабатывать адаптивную AI‑платформу и решения end‑to‑end, принимать архитектурные решения.
• Добавлять новые функции в существующую обучающую рамку и следить за улучшениями.
• Встраивать AI‑функции в платформу и обеспечивать их надёжность и эффективность.
• Создавать внутренние инструменты и автоматизации для обучения, операций и продаж.

Skills

Full-stack

Python

TypeScript/React

LLM APIs

PostgreSQL

CI/CD

Docker

Observability

English

German

Tools

FastAPI

Django

GitHub Actions

pytest

Docker

Job description

Описание:

For years, StackFuel has been one of Germany’s leading providers of data and AI training. Since early 2026, we have been part of Multiverse, Europe’s only EdTech unicorn and the continent’s largest AI upskilling platform. Together, we are pursuing a clear goal: to make 100,000 employees in Germany AI-ready and close the country’s data and AI skills gap. To make this happen, we are building a next-generation adaptive learning platform from Berlin, AI-first from the ground up.

Задачи:

• Develop our adaptive, AI-first learning platform and software-based AI solutions end-to-end, independently making key technical architecture decisions
• Implement new features and requirements in our existing learning framework, balancing new development with ongoing improvements
• Build AI features into the platform, such as LLM-powered learning support, adaptive learning paths, or automated content generation, and ensure they run reliably, measurably, and cost-efficiently
• Build internal tools and AI automations for Learning Coaches, Client Operations, and Sales to help these teams work more efficiently
• Work closely with the entire engineering team, our Content Engineering team, and the Portfolio Leads

Требования:

• 5+ years of experience in full-stack development, several of them with senior responsibility (architecture, technical decisions, mentoring)
• You work AI-first and naturally use AI tools in your day-to-day engineering; the agentic SDLC isn’t a foreign concept to you but a target vision
• Hands-on experience with LLM APIs in products: prompt design, structured outputs, tool use, and evaluation of model outputs
• Experience with end-to-end development using Python (FastAPI or Django) and TypeScript/React
• Confident with PostgreSQL and schema migrations
• Discipline in testing and CI (e.g. pytest, typed code, GitHub Actions or similar)
• Experience with Docker-based deployment and a foundation in observability
• Business-fluent English and ideally German at B1–B2 level

Условия:

• A solution-oriented, data-driven way of working, an open feedback culture, and strong team spirit.
• Two Trustees, elected by the entire StackFuel team, act as a neutral, confidential point of contact for your questions and concerns.
• Take on responsibility from day one, actively contribute your own ideas, shape processes sustainably, and have a real influence on how we work.
• We work in a hybrid model and are usually in our Berlin office 3 days a week.
• Work from anywhere in the EU, the EEA, and Turkey for up to 10 days per year.
• Regular team exchanges, seasonal celebrations, and an always well-stocked kitchen make for a lively atmosphere.
• Take our online trainings to expand your skills and become an expert in data and AI.