Software Engineer (Back-end & Computer Vision)
Location
Germany
Posted
12 days ago
Salary
0
Seniority
Mid Level
Job Description
Software Engineer (Back-end & Computer Vision)
StellDirVor GmbH
Role Description We are currently developing ARAIAS — an AR- and AI-based hands-free training and assistance system for chronic wound care. The role involves: - Designing and building the back-end infrastructure — REST APIs, cloud services, and data pipelines that connect all system components - Building and managing system integrations — connecting hardware, external services, and internal components into a cohesive and reliable data flow - Implementing real-time data streaming — from smartglass sensor capture through to server-side processing and response delivery back to the device - Integrating AI capabilities into the application layer — including language understanding, audio processing, and output validation and scoring pipelines - Interfacing with smartglass SDKs and sensor APIs to establish device-to-back-end data pipelines, working from technical documentation provided by our hardware partner - Connecting AI model outputs into application layers — inference endpoints, model versioning, and performance monitoring - Supporting computer vision — from architecture development and integration — connecting CV model outputs into the back-end and application layer - Making pragmatic architectural decisions appropriate for the current prototyping stage - Setting up CI/CD, containerization, and basic observability to keep the team moving fast - Supporting integration points between the back-end and Unity-based front-end Qualifications - Back-end engineering proficiency — REST API design, system integration, and data pipeline development with Python as the primary language (FastAPI or equivalent) - Real-time integration experience — building streaming pipelines, WebSocket communication, or similar low-latency data flows between devices and servers - AI engineering experience — hands-on integration of AI models and services into production or prototype systems, spanning language understanding, audio processing, and output validation and scoring workflows - System integration experience — connecting hardware, third-party APIs, and internal services across different layers into a coherent, functioning system - Cloud platform experience (AWS / GCP / Azure) — able to spin up infrastructure, manage storage, and deploy services independently - Comfort working with hardware SDKs and APIs — able to independently navigate technical documentation and integration guides to establish device-to-server data flows - Comfortable with Docker and basic CI/CD pipelines - Self-directed and pragmatic — able to take initiative, own problems end-to-end, and make sensible technical decisions independently in a lean team - Fluent in English — German is a bonus Requirements - Database experience — PostgreSQL, NoSQL, object storage (S3 / GCS) - Unity experience or familiarity with Unity's integration patterns - Familiarity with semi-supervised learning — leveraging limited or partially labeled data, relevant when annotated wound imaging data is scarce - Experience with 3D data pre-processing and post-processing — depth map handling, point cloud cleaning, mesh reconstruction, or similar - Exposure to multi-modal learning — combining RGB and depth or LiDAR data into unified model inputs Benefits - Meaningful work — You help shape how technology redefines education and training in healthcare, with real impact on clinical outcomes - Ownership and creative freedom — You work autonomously, contribute your ideas directly, and have a genuine say in how the system is built - A learning culture — We support personal and professional growth through knowledge sharing, access to innovative tools and methods, and a dedicated learning budget - Flexible working — Remote-friendly setup with the option to work from our Munich office - Flat hierarchies and team spirit — A small, open, and trust-based team where communication is direct and everyone's voice matters - International collaboration — Work alongside a Taiwan-based partner covering technology, hardware, and research
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