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Working Student (m/f/d) – Frontend Development for AI Applications

Trench -
Berlin

Jetzt bewerben

Details zur Stelle

Teilzeit
vor 18 Stunden

Leistungen

Firmenevents

Qualifikationen

CSS
React
D3.js
Git
Master
JavaScript
REST
APIs
Künstliche Intelligenz
Figma
TypeScript
Python
HTML

Vollständige Stellenbeschreibung

Berlin, Berlin, Germany

req1652

Posted on: 6/4/2026

Working Student (m/f/d) – Frontend Development for AI Applications

Hybrid | Part time | Student (not yet graduated)

Sense the Power
Trench Group is a global leader in high-voltage power transmission components and systems. Headquartered in Berlin with over 100 years of experience, the company leads the portfolio of high-voltage power transmission components and systems. With product groups including bushings, coils, and instrument transformers, the company is a system-critical player in the energy transition and sustainable energy future. These intelligent and technologically advanced solutions are used for measurement, protection, and connection within the power grid. We operates globally with more than 2,500 employees across nine factory locations and four regional sales hubs.

Big Energy - Powered by Bold People
We’re a growing company where innovation isn’t just a buzzword — it’s how we work every day. AI plays a key role in what we build, and we’re always looking for curious minds who want to shape how people interact with intelligent systems.If you’re excited about turning ideas into real products and making AI usable, you’ll fit right in.

Your Tasks:

Build and improve internal web front-ends for our AI applications - for example, the chat interface for our internal Knowledge Bot, the review screens for our Visual Inspector (AI-assisted quality inspection), and interactive BI dashboards.
Turn designs and rough prototypes into clean, responsive React / TypeScript components.
Integrate front-ends with backend and AI services via REST APIs (Databricks, Microsoft Graph, the Anthropic / Claude API).
Build data visualizations that make analytics and AI outputs genuinely understandable for business users.
Rapidly prototype new AI-powered features and iterate based on real user feedback.
d component library and take part in code reviews.

Requirements:

Enrolled student for at least 12 more month in Computer Science, Media Informatics, Human-Computer Interaction, Software Engineering, or a related field
Solid front‑end fundamentals: HTML, CSS, modern JavaScript, and hands‑on experience with React (TypeScript is a strong plus)
Comfortable working with REST APIs and reading API documentation
An eye for clean, usable interfaces and modern UX patterns
Curiosity about LLMs / generative AI and how to build effective interfaces on top of them
Python, or experience with Streamlit / Plotly Dash / D3 / Recharts
Experience with Figma or other design tooling
Comfortable Git workflow and collaboration in version-controlled environments
Any exposure to LLM APIs or RAG-based applications
Good communication skills in English and/or German

We offer:

Growth with Purpose: Join a globally growing energy company with a vision and a bright future in the energy transition
Strong Teams, Big Energy: Work in highly professional, international teams defined by respect, appreciation, and a d drive to shape the future of energy
Fair Rewards: Competitive pay, monthly vouchers for shopping, well‑being, or personal development, plus subsidized lunch and membership in a corporate benefits program
Personal & Professional Development: Learn and grow in an international environment with hands‑on experience and continuous development opportunities
Modern Working Environment: A modern way of working, 30 days’ vacation, and a tariff agreement combined with contemporary offices, height‑adjustable desks, free fruit & coffee, and regular team events

HAVE WE PIUED YOUR INTEREST? We are looking forward to receiving your application - just click on the "" button and send us your application.

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Erweiterte Suche

student data science Jobs in berlin

Working Student (m/f/d) – Frontend Development for AI Applications

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Hybrid | Part time | Student (not yet graduated)

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