---
title: 'AI Quality Engineer - Working Student (f/m/d) at Manex AI GmbH'
canonical: 'https://feeny.ai/job/ai-quality-engineer-working-student-f-m-d-manex-ai-gmbh-munich-4qpgew67xv20'
type: 'job'
last_seen: '2026-09-13'
---

# AI Quality Engineer - Working Student (f/m/d) at Manex AI GmbH

- **Company:** Manex AI GmbH
- **Location:** Munich, Germany
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-03
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/manex/7c7a9f91-8d59-4a75-a723-eadfe1e3f1bf

## Job description

AI Quality Engineer - Working Student (f/m/d)

## About Us

Manex AI is on a mission to enable autonomy for the world's leading organizations, currently building the production system for the era of autonomous manufacturing. With our Seed Round raised from Lightspeed and BlueYard and leading manufacturing enterprises relying on our systems, we are now scaling fast. For our world-class team, we are looking for exceptionally driven students who want real ownership early.

## Your Role

Testing conventional software is a solved problem. Testing AI systems is not. Classic assertions stop working when a system can answer correctly in five different ways, and the industry is still writing the playbook for what comes next. You define what good looks like for AI features that run in customer production environments. Kosmos, our platform, is live at industry leaders such as BMW, Audi, BSH, Stellantis, and TDK Electronics. The job comes with two main responsibilities. The first is evals: building the datasets and scoring methods that turn a vague impression of quality into a number the team can act on. The second is classic engineering rigor: automated end-to-end tests, regression suites, CI that catches issues while a feature is still a branch, and experiments that show where performance and scalability stand. The mindset we hire for is adversarial. Your job is to find the edge cases nobody thought of and the prompt nobody expected, and then to prove exactly what happened and why. For working students who deliver, this is the fastest path into a full-time engineering role.

## Your Responsibilities

- Design and run evals for our AI features, including datasets, scoring and regression tracking over time
- Investigate performance and scalability bottlenecks, then design experiments to show the impact of the fix
- Extend our CI pipeline so quality signals reach engineers early
- Do exploratory and edge case testing on new features before they reach customer environments
- Document and present findings precisely such that an engineer can act on them

## Your Profile

- Currently studying Computer Science, Information Systems, or similar
- Available 16 to 20 hours per week during the semester, with the option to work more during semester breaks
- Strong hands-on coding ability in Python, TypeScript or similar, proven via own projects, ventures, or open-source work
- Curiosity about how LLM-based systems behave and how to measure them, whether from coursework, side projects, or reading
- Enjoying breaking systems, and even more finding the root cause
- An ownership mindset: taking initiative, moving fast, and finishing what you start
- Fluent in English and ideally in German as well
- Based in Munich, hybrid, with regular time on-site with the team
- Ideally experience with Playwright, Cypress or Selenium, API testing, Docker, and CI/CD

We appreciate your application even if you don't tick all the boxes.

## What We Offer

- Real ownership from day one, including how quality and evals work here
- Direct mentorship from senior engineers and direct access to founders
- Hands-on experience with real customers, real production systems, and frontier AI
- Hours that flex around lectures and exam periods
- A fast-paced environment backed by the world's best investors, with the world's leading organizations as customers

Curious? Apply now.

## About Manex AI GmbH

## Company Overview
- **One-liner**: Manex AI is a Munich-based startup building an Autonomous Enterprise AI Platform (Kosmos) with three manufacturing suites (Blackbelt, Takt, Gemba) to enable autonomous factories for leading industrial organizations.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Munich, Germany
- **Founded**: 2023
- **Founders**: Nathan Gruber (CEO), Dr. Andreas Schoch (MD), Fabian Gruber (CPTO)

## Core Business
- **Primary industry/industries**: Industrial AI, Manufacturing Optimization, Quality Management
- **Target customers**: Enterprise manufacturing organizations (B2B), including automotive OEMs and suppliers (BMW, Audi, BSH, Stellantis, TDK, Henkel, Resrg Automotive)
- **Mission or purpose statement**: "Enable autonomous factories powered by AI"

## Products & Services
- **Kosmos (Autonomous Enterprise AI Platform)**: The foundational platform that models business domains and lets agents, workflows, and applications act on them like domain experts. Deployable cloud, on-premise, or any environment with no data lock-in.
- **Blackbelt (Quality Suite)**: AI-powered quality management that predicts defects, catches issues at the source, and reduces scrap, rework, and warranty exposure. Customers report 70%+ reduction in test capacities and 20% increase in defect detection rates.
- **Takt (Execution Suite)**: Production execution and process steering optimization.
- **Gemba (Shopfloor Suite)**: Real-time shopfloor visibility and operations management.
- **Horizon (Distribution Platform)**: Enables solutions built at one site to be instantly available across all sites, compounding local innovation into a single growing system.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (Seed-stage private company)
- **Key Metric**: Total Funding — $9.12M raised in 1 round (Seed round on June 4, 2025)
- **Notable Investors/Partners**: Lightspeed Venture Partners, BlueYard (institutional investors), plus 9 angel investors. Customers include BMW, Audi, BSH, Stellantis, TDK, Henkel, Resrg Automotive.
- **Growth Signals**: 23 total employees (as of mid-2026); 31 employees as of March 31, 2026 (Tracxn); receiving 1,000+ applications per role (indicating strong employer brand); already deployed with multiple global industry leaders; certified ISO 27001 and TISAX.

## Competitive Advantages
- **Proven enterprise traction**: Already deployed on production lines with automotive giants like BMW, Audi, and Stellantis — lines "that can't stop."
- **Verified impact**: Delivers measurable results: 3-5x productivity improvements, 20-35% reduction in response time, 10-15% output increase, 10-30% reduction in time-to-market, 10-15% reduction in cost of non-conformance.
- **Data sovereignty and compliance**: Built for European GDPR compliance, ISO 27001 and TISAX certified. "Made in Europe under the strictest regulations written for AI in critical industry."
- **No hardware required**: Software-only solution that integrates with existing systems and robotics via industry-standard integrations.
- **Flexible deployment**: Cloud, on-premise, or any environment — data stays where customers want it.

## Strategic Focus
- Scaling the autonomous factory vision by compounding local innovation across customer sites via the Horizon distribution platform
- Deepening AI agent capabilities on the Kosmos platform to connect siloed production data and replace fragmented point solutions
- Expanding customer base among leading manufacturing organizations while maintaining sovereign-by-default data practices
- Building out engineering and customer impact teams to support rapid deployment and product evolution

## Why Work Here
- **Engineering culture**: "Best-in-class engineering team" with a strong technology focus — the company is building at the frontier of industrial AI and autonomous systems
- **Impact-oriented**: Values "Impact instead of tasks" — the mission is to move engineers off repetitive work onto high-value problems
- **Work environment**: In-office at Munich HQ (Am Kartoffelgarten 14, 81671 München) — "Employees work from physical offices" (Built In)
- **Growth trajectory**: Seed-stage with top-tier VC backing (Lightspeed, BlueYard) and enterprise logos already onboard — early employee opportunity
- **Notable**: Receives 1,000+ applications per role, suggesting strong interest; company advises candidates to "make clear why you want to work with us" to stand out
- **Values**: Impact Orientation, Technology Focus, Autonomy as an operating model

## Sources
1. [manex.ai](https://manex.ai/en)
2. [manex.ai/jobs](https://www.manex.ai/en/jobs)
3. [manex.ai/imprint](https://www.manex.ai/en/imprint)
4. [builtin.com](https://builtin.com/company/manex-ai)
5. [tracxn.com](https://tracxn.com/d/companies/manexai/__7melWlQ5tZO_4S2-srjODQWPVjz6g6x7iHI-rvpq_kQ)

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