At NextStepHR, we’re revolutionizing the way SMEs hire talent. Our AI-driven HR-tech platform analyzes job titles, locations, and recruiting budgets to predict the best job portals and social media channels, making recruiting 3x faster and 60% cheaper.
Beyond smart job distribution, we optimize the entire hiring process by automating job postings, improving the candidate experience, and integrating directly into applicant tracking systems (ATS). Now, we’re looking for a passionate backend developer to help create seamless and reliable infrastructure!
Tasks
* Develop and improve cloud infrastructure related to machinelearning within our platform.
* Build reliable production ready backend code in Python or NodeJS (we do both).
* Work closely with frontend- and experienced backend engineers to create a seamless experience.
* Optimize backend performance, reliability, and just build cool stuff.
* Implement smart automations and data pipelines.
* Learn from experienced engineers and gain real-world startup experience
Requirements
* You’re currently studying Computer Science, Physics, IT, or a related field.
* Some experience with Python, Tensorflow, Torch or NodeJS ML – even from personal projects!
* Passion for clean and scalable code that just works.
* Understanding of APIs, Machine Learning Basics, and eager to learn more.
* Eagerness to learn, experiment, and take initiative in a startup environment
Benefits
* 💡 Hands-on experience in a fast-growing AI-driven startup.
* 💰 Internship position with option to land a working student or minijob position
* 🌍 Remote-friendly culture – work from anywhere!
* 🚀 Opportunities to grow & learn from experienced frontend engineers.
* 📈 Possibility of a full-time role after graduation.
* 🏝️ Flexible working hours that fit your university schedule
If you’re passionate about backend development, machine learning, and performance optimization, and want to work on a real-world AI-driven product, we’d love to hear from you!
Unsere KI-gesteuerte Recruiting-Technologie nutzt präzise Machine Learning Algorithmen, um die zur Verfügung stehenden Daten aus sozialen Medien und Jobportalen zu analysieren und präzise Vorhersagen zu machen, was die effizientesten Kanäle sind um qualifiziertes Personal zu finden.