---
title: 'Senior Fullstack AI Engineer (f/m/d) at StackFuel'
canonical: 'https://feeny.ai/job/senior-fullstack-ai-engineer-f-m-d-stackfuel-berlin-a1yraddkwvyq'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Fullstack AI Engineer (f/m/d) at StackFuel

- **Company:** StackFuel
- **Location:** Berlin, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-20
- **Apply:** https://jobs.ashbyhq.com/stackfuel/ea49cb17-1b5a-4dee-aea5-fb49031431f1

## Job description

Job description 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. Alongside this, we develop software tools and automations that integrate into our customers’ B2B platforms. As a Senior Fullstack AI Engineer (f/m/d), you’ll play a key role in shaping this platform and these software tools, from the database to the frontend. Your work directly reaches thousands of learners and contributes to the transformation of mid-sized and large German companies.

## Your responsibilities

- 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

## What you bring

- 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/Next.js
- 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

This role probably isn’t for you if…

This role is probably not the right fit if you only want to work on greenfield projects. Alongside building our new platform, you’ll also continue developing our existing learning framework, and both are equally part of the job. It’s also not a good fit if you see AI tools as a nice extra rather than something that fundamentally changes how we build software. And if internal tools appeal to you less than the big product, you probably won’t be happy here: the back office for Learning Coaches, Client Operations, and Sales is a central part of the role, and it’s often where you’ll feel your impact most quickly.

## What we offer

Work culture 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. Ownership Take on responsibility from day one, actively contribute your own ideas, shape processes sustainably, and have a real influence on how we work. Hybrid working We work in a hybrid model and are usually in our Berlin office 3 days a week. Workation Work from anywhere in the EU, the EEA, and Turkey for up to 10 days per year. Room for exchange Regular team exchanges, seasonal celebrations, and an always well-stocked kitchen make for a lively atmosphere. Professional development Take our online trainings to expand your skills and become an expert in data and AI.

## About StackFuel

## Company Overview
- **One-liner**: StackFuel provides online, hands-on training programs in data and AI skills for individuals and businesses, helping people launch data careers and companies upskill their workforce.
- **Entity Type**: Private (acquired by Multiverse in January 2026)
- **Headquarters**: Berlin, Germany
- **Founded**: 2016
- **Founders**: Leo Marose (CEO & Co-Founder), Stefan Berntheisel (CTO & Co-Founder)

## Core Business
- Primary industry/industries: Professional education and corporate training, specifically focused on data science, artificial intelligence, and digital skills.
- Target customers: Both B2C (job seekers and career changers, funded via education vouchers from the Federal Employment Agency) and B2B (enterprise clients such as Telefónica, Mercedes, BMW, and Deutsche Bahn).
- Mission or purpose statement: “Empower companies through their employees to master the data and AI revolution. And enable job seekers to acquire the skills they need to enter data and AI professions with confidence.”

## Products & Services
- **Data & AI Specialist Training**: A comprehensive online program covering data analysis, machine learning, Python, and AI fundamentals. 80% practical content, project-based learning, and mentoring. Designed for individuals seeking entry-level data roles.
- **AI Specialist Training**: Focus on practical use of AI tools, automation, and prompting. Gen AI included.
- **Strategic AI Management**: Targeted at managers and professionals looking to integrate AI into business strategy.
- **Product Manager – Focus AI & Tech**: Training for product managers to build AI-powered products.
- **Career Service**: Post-training support including CV optimization, interview coaching, salary negotiation guidance, and networking events.
- **B2B Corporate Training**: Custom programs for companies undergoing digital transformation, often subsidized through Germany’s Qualification Opportunities Act (QCG).

## Market Standing
- **Valuation/Market Cap**: Not publicly available (acquired by Multiverse; acquisition terms undisclosed).
- **Key Metric**: Total funding not disclosed; key metric is growth – the company reported “growth of over 70 percent.” It has trained over 8,000 graduates with a 93% completion rate.
- **Notable Investors/Partners**: Multiverse (acquirer), Haufe Akademie (sales & marketing partner), Deutsche Bahn, Telefónica, Mercedes, BMW. Funded by German Federal Ministry of Education and Research (BMBF) for projects like “Toolbox Datenkompetenz” and “Coding Labs.”
- **Growth Signals**: 70%+ growth; expansion of B2B customer base; integration of AI training into portfolio; acquisition by Multiverse (a global leader in apprenticeship and upskilling) positions StackFuel to scale further.

## Competitive Advantages
- **AZAV-certified** (accredited by the Federal Employment Agency), enabling 100% government funding for individual learners.
- **Deep enterprise partnerships** with iconic German brands – these relationships provide credibility and a built-in customer pipeline.
- **High completion rate (93%)** and practical, project-based curriculum that aligns closely with job market demands.
- **Proprietary “dataX Academy”** model developed with EXIST funding, aimed at creating a full-fledged data academy for companies.

## Strategic Focus
- **Post-acquisition scale**: Leveraging Multiverse’s global platform to expand AI upskilling across Germany and potentially into other European markets.
- **Deepening B2B offerings**: Growing corporate training contracts, especially in transformation and restructuring contexts (QCG-funded).
- **Integrating AI across all programs**: StackFuel has added dedicated AI specialist and strategic AI management courses, reflecting market demand.
- **Expanding the “Career Service”** to improve job placement outcomes for individual learners.

## Why Work Here
- **Hybrid work model**: 3 days in the Berlin office (Oranienburger Str. 66), 2 days remote – balance of collaboration and flexibility.
- **Workation possibility**: Employees can work abroad for a few weeks.
- **Career & development**: Free access to all StackFuel data & AI training courses for unlimited time.
- **Company pension plan**: Employer subsidy of 15%.
- **Awards**: Recognized as a top employer by Kununu and Business Punk since 2020.
- **Engineering culture**: Small, cross-functional teams; focus on product and impact; CTO is a co-founder.
- **Team culture**: Emphasis on values, expert calls during interview process, and a supportive onboarding experience with a welcome package.

## Sources
1. [StackFuel – About Us](https://stackfuel.com/en/about-us/)
2. [StackFuel – Career Page](https://stackfuel.com/en/career/)
3. [StackFuel – Homepage](https://stackfuel.com/en/)
4. [StackFuel – Jobs on Ashby](https://jobs.ashbyhq.com/stackfuel)
5. [CB Insights – StackFuel Profile](https://www.cbinsights.com/company/stackfuel)

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