[Hiring] 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