Working Student - Software Engineering (f/m/x) · TypeScript (NestJS or React)
Munich, Bavaria, Germany · Part Time
അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ
- അനുഭവം
- ഏതെങ്കിലും
- ശമ്പളം
- —
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 3 മണിക്കൂർ മുൻപ്
- Work mode
- ഓഫീസിൽ
- വിദ്യാഭ്യാസം
- Master's degree student or advanced Bachelor's student in Computer Science, Informatics, or related field
- Eligibility
- Master's students or advanced Bachelor's students in Computer Science, Informatics, or a related field who are enrolled at a Munich university and can work 15–20 hours per week on-site in Munich.
- Resume
- Required to apply
Where you'll work
ജോലി വിവരണം
About OneTutor
OneTutor is an AI-based tutoring platform that originated from the Technical University of Munich (TUM). The product provides each student with a tailored AI tutor that works from real course materials, with source citations and GDPR-compliant handling. In addition to the student product, the company also offers an AI-driven learning platform for business and public-sector organizations.
The company is beyond the initial validation phase and already has measurable traction, including 35,000+ active users, more than 50 B2B/B2G customers, and a helpfulness rate of 86% among users.
The role is designed for a working student who wants hands-on experience in a compact team, direct collaboration with the founders, and the chance to build software used by thousands of learners. Working hours are flexible around university commitments.
This position is based in the Munich office and is intended for on-site work. Candidates seeking a fully remote arrangement should not apply.
What you'll do
- Own small, clearly defined backend or frontend assignments with guidance from the team.
- Develop and maintain APIs, shape data models, and work with NestJS and TypeScript on the backend.
- Build React components and connect the frontend with backend services to improve the experience for learners and instructors.
- Work closely with product and engineering colleagues on design decisions, testing, and feature delivery.
- Take part in code reviews and occasional pair programming.
- Work around 15–20 hours per week, with scheduling aligned to your studies.
Who they're looking for
The ideal candidate is a Master's student or an advanced Bachelor's student in Computer Science, Informatics, or a similar discipline, and is enrolled at a university in Munich. The team is looking for someone eager to apply academic knowledge in a live product setting rather than only building demos or internal utilities.
You should already have some practical experience in at least one of these areas: backend development with NestJS and TypeScript, including REST or GraphQL API design, or frontend development with React and TypeScript, including hooks and component-based architecture.
Strong communication skills in English or German are important, along with a collaborative mindset and comfort in asking for support when needed. Previous work experience is not required, and there is no requirement for a specific number of completed semesters. Interest and ability to contribute matter most.
Nice to have
- Interest in AI tooling such as LLMs, LangChain, retrieval-augmented generation pipelines, embeddings, and vector databases.
- Exposure to prompt engineering or model fine-tuning.
- Any background from agile teams, hackathons, or student projects.
Benefits
- Competitive hourly compensation for working students in Munich.
- Subsidized EGYM Wellpass membership.
- A centrally located office close to Theresienwiese in Munich.
- Flexible working hours that fit around exam periods.
- Meaningful ownership with features that are used by real learners rather than internal-only tooling.
- Mentorship and support from an engineering team focused on your growth.
- Opportunity to join a fast-growing TUM-connected EdTech startup.
Application note
Applicants are asked to include employment references, as applications without them may not be considered.
Equal opportunity
OneTutor is an equal opportunity employer and especially encourages applications from women and people from underrepresented genders in tech. The company believes that balanced teams lead to better decisions and better products.