At voize, weβre revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.
voize is YCombinator-funded, already in use at over 600 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually β time spent on people instead of paperwork.
As a dynamic team, we blend cutting-edge technology with social impact. And now, itβs your turn to join us!
Note: We can only hire team members who already live in Germany.
At voize, weβre revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.
Voize is YCombinator-funded, already in use at over 600 senior care homes , and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually β time spent on people instead of paperwork.
But this is just the beginning. With our self-developed voize AI, weβre transforming not only the healthcare industry, but also have the potential to create value in many other sectors β from healthcare to inspections.
As a dynamic team, we blend cutting-edge technology with social impact. And now, itβs your turn to join us!
As a Backend Engineer - Integrations, youβll ensure that data flows smoothly between our products and our partners' software solutions. Without these integrations, voize would just be an island. Through your work, youβll build the bridges that make us successful.
Shape the future of our integrations β Develop interfaces that seamlessly connect voize with systems in the medical, care and engineering sector
Build future-proof solutions β Develop a scalable API, set industry standards, and work closely with partners and clients
Take end-to-end ownership β From the idea and implementation to the ongoing development of our integrations
Architecture with foresight β Design thoughtful data models and sustainable solutions for complex systems.
Work with impact β Your work saves caregivers time, improves documentation, and supports people who do amazing work every day.
Several years of experience in backend development and API integration , particularly
Proficiency with Kotlin and flows is essential for this position
Experience with infrastructure technologies such as Linux, Kubernetes, Docker, and AWS
API design and development with REST or GraphQL , as well as authentication
You speak fluent German & good English to communicate effectively with our team and customers
Resilience is one of your strengths β you see challenges as opportunities, not obstacles
Iterative working suits you β you test, learn, and improve constantly instead of waiting for perfection
You value open communication and constructive feedback β and contribute to a positive team culture
Become a co-creator of our success with virtual stock options
Our office is in Berlin, and we offer remote work
We provide flexible working hours because you know best when you work most efficiently!
Access to various learning platforms (e.g., Blinkist, Audible, etc.)
We have an open culture and organize regular work weeks and team events to collaborate and bond
We are a fast-growing startup, so you'll encounter various challenges, providing the perfect foundation for rapid personal growth
Your work will make a real impact, helping alleviate the workload for healthcare professionals
Free Germany Ticket and Urban Sports Club membership
30 days of vacation β plus your birthday off
We look forward to your application and canβt wait to meet you β no matter who you are or what background you have!
Tech Stack App: Kotlin Multi-Platform, Jetpack Compose ML: PyTorch, Python Microservices: Kotlin, K8S, MongoDB
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.
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