Werkstudent:in AI & Automation (m/w/d)

Description

Job Overview

• Role: Werkstudent:in AI & Automation (m/w/d)
• Company: disruptive GmbH
• Location: Munich
• Employment Type: hilfstätigkeit / student
• Category / Department: Consulting, Engineering
• Salary: Competitive / Not Disclosed — confirm during interview
• Key Skills / Technologies: Consulting, Engineering
• Listing Source: Arbeitnow

Job Description

Deine Vision. Unsere Plattform.

Du begeisterst dich für Künstliche Intelligenz, hast Freude an der Entwicklung intelligenter Automatisierungslösungen und möchtest deine Fähigkeiten in einem zukunftsweisenden Umfeld weiterentwickeln? Dann werde Teil unseres Teams und bringe deine Ideen dort ein, wo KI den Mittelstand nachhaltig verändert.

Wir bei disruptive, einer jungen KI-Beratung aus München, unterstützen mittelständische Unternehmen in der DACH-Region dabei, Künstliche Intelligenz gewinnbringend im Arbeitsalltag einzusetzen. Als Tochter der etablierten Kommunikationsagentur In A Nutshell vereinen wir Start-up-Spirit mit der Sicherheit eines erfolgreichen Unternehmens.

Zur Unterstützung unseres Teams suchen wir eine:n motivierte:n Werkstudent:in (m/w/d) im Bereich AI Engineering & Automation.

Aufgaben

DEINE AUFGABE:

• Anbindung diverser Software-Tools via APIs
• Weiterentwicklung interner Software-Tools (hauptsächlich Python und TypeScript)
• Unterstützung bei der Aufbereiten von Daten zur Automatisierung von Arbeitsprozessen

Qualifikation

DAS BRINGST DU MIT:

• Du bist eingeschriebene:r Student:in – idealerweise in Informatik, Wirtschaftsinformatik o. Ä.
• Programmiererfahrung in mindestens zwei Programmiersprachen. Vibe Coding ist okay, solange du Code verstehst.
• Kommunikation: Du kommunizierst proaktiv und vermittelst komplexe Sachverhalte strukturiert und klar.
• Analytisches Denken: Du bewältigst komplexe Problemstellungen systematisch und mit Übersicht.
• KI- & Automationsinteresse: Du beschäftigst dich bereits aktiv mit Agentic AI oder Tools wie n8n.
• Eigeninitiative: Du arbeitest selbstständig, erkennst Aufgaben und eignest dir neue Technologien eigenständig an.
• Großes Plus: du hast Erfahrung in mindestens einem der folgenden Gebieten: Fullstack Engineering, Cyber Security, Knowledge Graphs, Data Engineering
• Sprachen: Kommunikationssicherheit in deutscher und englischer Sprache (C1/C2-Niveau)

Benefits

UNSER ANGEBOT:

• Die Möglichkeit, praktische Erfahrung im Bereich Künstliche Intelligenz und Automatisierung zu sammeln
• Enge Zusammenarbeit mit einem motivierten, interdisziplinären Team
• Aktives Lernen und Mitgestalten von innovativen Projekten – von Anfang an
• Ein modernes Büro in der Münchner Maxvorstadt sowie regelmäßige Team-Events
• Einblicke in echte Kundenprojekte und die Möglichkeit, in einem zukunftsorientierten Themenfeld vorne mit dabei zu sein

Haben wir dein Interesse geweckt?

Dann bewirb dich noch heute und werde Teil unseres erfolgreichen Teams!

Find 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

disruptive 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 Werkstudent:in AI & Automation (m/w/d) 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: Consulting, Engineering. Ensure these are prominently featured on your resume and LinkedIn profile.

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.