20 beste Stellen als applied ai, senior/staff forward deployed machine learning engineer munich in münchen, by – aktuell auf Personalsuche

Working Student / Intern in Software Engineering & AI (f/m/x)
alago —München
- 17 € – 20 € pro Stunde
- Informatik
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Direkt bewerben
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- 84.800 € – 116.600 € pro Jahr
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Animore —München
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CompuGroup Medical —Martinsried
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9 Tage
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Impower GmbH —München
- Vollzeit
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ISM International School of Management GmbH —München
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Direkt bewerben
12 Tage
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Applied Materials —Feldkirchen
- 52.000 € – 71.500 € pro Jahr
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Principal Enterprise Architect Professional Services (Germany)
Adobe —München
- Vollzeit
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European Southern Observatory —Garching bei München
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Helsing —München
- 500 € pro Jahr
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Intern Strategy & Executive Support - CTO Office (m/f/d)
Allianz —München
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Applied Materials —Heimstetten
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Omegga —München
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Working Student / Intern in Software Engineering & AI (f/m/x)

alago
München

Direkt bewerben

Details zur Stelle

17 € – 20 € pro Stunde

Qualifikationen

Node.js
Informatik
React
Master
JavaScript
PostgreSQL
Benutzerfreundlichkeit
GitHub
Künstliche Intelligenz
TypeScript

Vollständige Stellenbeschreibung

The construction industry loses $1.6 trillion annually to inefficiencies. A huge part? Repeating the same mistakes over and over because critical information is still stuck in paperwork and scattered systems.

alago fixes this by putting existing data to work, instead of letting documentation gather dust. We help teams eliminate double data entry and manual busywork by connecting to existing tools, processing project data, and automating workflows between people and AI. With every project, alago gets more powerful —spotting risks and turning past challenges into future wins.

We’ve just raised a seven-figure pre-seed led by top construction tech VCs and one of Germany’s largest project developers. 75% of the infrastructure that will exist in 2050 does not exist today. Let’s build it better!

Aufgaben

As a Working Student in Software Engineering & AI (all genders), you’ll join our development team and gain hands-on experience building complex, large-scale software that transforms the construction industry:

Collaborate directly with our core development team on real product features
Use cutting-edge developer tools like Cursor and Claude Code to accelerate your workflow
Design, test, deploy, and maintain backend or frontend components of alago’s platform
Contribute ideas to improve performance, usability, and user experience
Support with QA and customer onboarding & deployment.

You will be working closely with Vinzenz (CTO) and who owns tech.

Our Stack: We use TypeScript across both frontend and backend, with Next.js and Tailwind for the frontend. Our backend runs on serverless Node.js functions. For LLM chains, we leverage LangChain and LangGraph. Our infrastructure is based on Vercel and Supabase (PostgreSQL with vector embeddings).

As a working student or intern, you don’t need to know all of these yet—if you’re familiar with some and eager to learn the rest, we’d love to hear from you!

Qualifikation

This is the perfect role for a motivated student who wants to gain hands-on experience at an early-stage company and help shape the future of construction with applied AI. Whether you dream of founding your own company one day or see yourself growing with us long-term, you'll gain invaluable skills and make a real impact here.

C1 fluency in German – You’ll navigate complex construction industry jargon and must be able to refine prompts or dive deep into our German data to optimize them effectively.
You are currently enrolled in a Master’s program in Informatics, Computer Science, Business Informatics or similar
You have hands-on experience developing web-based front-end solutions with JavaScript and React (GitHub contributions are a plus).
You have some exposure to RAG systems and are familiar with basic prompting techniques.
You are enthusiastic about AI/ML, even if you’re still building your expertise.
You have projects from university, student clubs personal projects, or internships—and we’d love to hear about them!
You are available for at least 6 months

Bonus Points:

You’ve built or contributed to projects using Loveable, v0, Cursor or similar
You’ve participated in hackathons
Great UI/UX excites you

Benefits

As one of our first hires, you’ll do more than contribute — you’ll help shape how Alago works: our culture, systems, and growth strategy. You’ll work directly with the founders, gain exposure to every function, and ship projects that have immediate impact.

10× Learning Curve. Work with cutting-edge AI to tackle real-world challenges every day
You ship fast and own the outcome. You’ll design features that take the pain out of project management, automating away the repetitive tasks and overhead teams hate.
Work directly with the founders. You’ll own critical parts of alago end-to-end, laying the technical foundation while balancing rapid iteration, customer value, and long-term scalability.
A vibrant in-office culture in our central Munich office. We come together in our Munich office at least three days a week (two, if you are a working student). Beyond that, you’re welcome to work remotely for a few weeks at a time whenever your circumstances or preferences require it.
Competitive salary, so you are invested in our success

We’re building for scale — but right now, it’s still early. That means lots of autonomy, tight feedback loops, and the freedom to grow into whatever role suits your strengths, whether that’s to become top individual contributor or eventually launching your own company one day.

About the application process

1. Submit your story

Tell us about something you built that had real impact.

2. Intro Call (30min)

Intro, Logistics & Fit with a founder.

3. Coding Challenge (45min)

Tackle a systems design and coding challenge

4. Offer

We’ll get back to you within 24 hours. If it’s a fit — let’s go!

Alago is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Direkt bewerben

Erweiterte Suche

applied ai, senior/staff forward deployed machine learning engineer munich Jobs in münchen, by

Working Student / Intern in Software Engineering & AI (f/m/x)

Senior Data Scientist (m/f/d)

Strategic Sourcing Manager (m/f/d) - EMEA Capex and Infrastructure

Quality Inspector - Production Quality

Data & AI Consultant (m/w/d)

Mid Market Account Executive - Munich

Senior Data Engineer (F/M/D)

Team Lead Architecture (f/m/d)

Senior Site Reliability Engineer (m/w/d)

Professur für Data, AI & Transformation Management

Customer Engineer PDC Sem

Principal Enterprise Architect Professional Services (Germany)

Belgian National Engineering Graduate Trainee Scheme

Working Student (m/f/d) Data Science Computer Vision / IdentityCheck

Incoming Inspector - Production Quality

Intern Strategy & Executive Support - CTO Office (m/f/d)

National Market Access Lead (m/w/d)

Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d)

Facilities & Real Estate (m/f/d)

Customer Operations & Success Manager

Ich möchte aktuelle Job-E-Mails für Stellen als applied ai, senior/staff forward deployed machine learning engineer munich in münchen, by erhalten

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