At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people.

We’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,500+ care facilities trust voize, and over 100,000 nurses rely on our AI companion to ease their daily workload.

Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.

As a fast-growing team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!

🎤 Why voize? Because we’re more than just a job!

At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people.

We’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,500+ care facilities trust voize, and over 100,000 nurses rely on our AI companion to ease their daily workload.

Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.

As a fast-growing team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!

💡 Your Mission

As a Backend Engineer for our German Market squad , you’ll ensure that data flows smoothly between our products and our partners' software solutions. You'll build and maintain the integrations that connect the voize with senior care and hospital software platforms.

🚀 Your Daily Business – No two days are alike

• Shape the future of our integrations – Develop interfaces that seamlessly connect voize with systems in the care and medical sector

• Build future-proof solutions – Develop a scalable API, set industry standards, and work closely with partners and clients

• Take end-to-end ownership – From the idea and implementation to the ongoing development of our integrations

• Architecture with foresight – Design thoughtful data models and sustainable solutions for complex systems

• Work with impact – Your work saves caregivers time, improves documentation, and supports people who do amazing work every day.

🤝 Your Skillset – What you bring to the table

• Several years of experience in backend development and API integration

• Proficiency with Kotlin and Coroutines is essential

• API design and development with REST or GraphQL

• Business fluent in German (C1) to communicate effectively with customers

• Open to travel to US occasionally

🌱 Growing together – what you can expect at voize

• We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving healthcare professionals more time for real patient care

• We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely from Germany

• Become a co-creator of our success with stock options

• Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible

• You decide when you work best, that means flexible working hours and a good hybrid set-up.

✨ Ready to talk? Apply now! 🚀

We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

Tech Stack Android: Kotlin Multi-Platform, Jetpack Compose ML: PyTorch, Python Microservices: Kotlin, K8S Backend: Kotlin, Koin, REST API

Challenges We run our ASR/NLP models locally on smartphones. Models need to be resource-efficient yet really accurate. With every user interaction data is generated and used for model improvements. This data needs to be processed continuously, automatically quality-assured and used for new model training.

We deploy into production on average every 6h and release updated machine learning models several times a week.