Working Student (f/m/d) AI Engineering Productivity & Automation

Description

Job Overview

• Role: Working Student (f/m/d) AI Engineering Productivity & Automation
• Company: Magazino GmbH
• Location: Munich
• Employment Type: Working student
• Category / Department: Software Development
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Software Development
• Listing Source: Arbeitnow

Job Description

Your tasks

• You support the evaluation and integration of modern AI tools into the software development workflow, with a focus on practical developer productivity gains.
• You help prototype AI-supported workflows for code review, merge request feedback, and developer automation within our existing tooling landscape.
• You contribute to building secure and reproducible environments for AI coding agents, including containerized or cloud-based setups for safe experimentation.
• You assist in evaluating technical options, implementing small integrations, and documenting findings for engineering and infrastructure stakeholders.
• You collaborate with software engineers and infrastructure teams to design and test the solutions you develop.

Requirements

• You are currently pursuing a Bachelor's or Master's degree in computer science, software engineering, IT security, DevOps, or a related field.
• You have strong programming skills in Python or similar languages and feel confident working with developer tooling and automation scripts.
• You are interested in AI-assisted software development, developer experience, and modern engineering workflows.
• You have a basic understanding of software development infrastructure, including CI/CD, version control, containers, and cloud environments.
• You have a structured and hands-on working style, with the ability to explore new tools critically and communicate trade-offs clearly.
• You are fluent in English; German is an asset.
• The job is mostly done on-site, so ideally you live in/close to Munich.
• Nice to have:
  • Experience with developer platforms and automation tooling, such as GitHub or GitLab APIs, merge or pull request workflows, and AI-assisted software engineering tools.
  • Familiarity with secure development environments and pragmatic prototyping, including Docker, sandboxing, cloud-based setups, network policies, and developer productivity workflows.

What we have to offer

• Cutting-edge technology: As pioneers in robotics we can navigate and manipulate without rails and guides and offer solutions to processes that no one could automate ever before!
• Team: We are an international team with more than 25 nationalities. You’ll work in a team with exceptionally smart, humble, collaborative and hardworking individuals.
• Culture: Come as you are! Join a vibrant, inventive, and diverse team that values collaboration over hierarchy. To innovate you need to fail from time to time — we always learn and improve.
• Workplace: Our office is located near the S‑Bahn station “Hirschgarten”. We work in a loft-style office with great equipment, our own workshop and testing area.
• Full Board: You don’t feel like thinking about what you want to have for lunch tomorrow, not to mention preparing it? Luckily, our french cook treats us with a freshly cooked free lunch everyday! And as the cherry on top, there is a packed fridge with drinks, fresh fruits and of course coffee!
• Flexibility: Flexibility is a top priority for us. Our hybrid working model for positions where presence is dispensable helps to achieve a healthy work-life balance.
• Benefits: We offer attractive holiday, EGYM, health care, and compensation packages. Learn more about our current benefits here.

At Jungheinrich Robotics, where Magazino GmbH found its place, fostering inclusivity is very important to us. We are dedicated to create an inclusive environment for all candidates and provide equal opportunities to all qualified applicants regardless of gender, ethnicity, age, national origin, sexual orientation, culture, or education. If you need any reasonable adjustments to make the application process accessible for you, we’ll do our best to accommodate you. Feel free to approach us for that!

Find more English Speaking Jobs in Germany on Arbeitnow

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume / Application screening by the recruiting team
2. Technical phone or video screening (30–45 min) covering fundamentals
3. Take-home coding assignment or technical assessment
4. Two to three rounds of technical interviews (algorithms, system design, or domain knowledge)
5. Behavioral / culture-fit interview with the hiring manager
6. Offer discussion and reference checks

Tip: Candidates are encouraged to review common data structures, algorithms, and system design concepts before the technical rounds.

About the Employer

Magazino GmbH is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Munich. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Arbeitnow.

How to Apply & Preparation Tips

To apply for the Working Student (f/m/d) AI Engineering Productivity & Automation position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Key skills relevant to this role include: Software Development. Ensure these are prominently featured on your resume and LinkedIn profile.

Keywords & SEO

JobSetuu, SarnitInfotech, Remote Jobs, Hybrid Jobs, WFM Hiring 2026, Latest Career Opportunities, Professional Jobs in India, Work From Anywhere, Working Student (f/m/d) AI Engineering Productivity & Automation, Careers at Software Development.

Indexed for better search results on JobSetuu.com

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.