Full-Stack AI Engineer (Computer Vision & Back-end Focus)
WFA Digital Insight
The demand for AI and computer vision specialists in the healthcare sector has grown exponentially, with a significant 27% increase in 2025 alone. StellDirVor GmbH is at the forefront of this revolution, and their current opening for a Full-Stack AI Engineer is an exciting opportunity for those looking to leverage their skills in AI model development, computer vision, and back-end engineering. As the remote job market continues to evolve, candidates with expertise in cloud platforms, Python, and ML tooling are in high demand. Before applying, candidates should be aware of the project's early stage and the need for pragmatic technical decision-making and problem-owning. With the right skills and mindset, this role can be a stepping stone for a career in AI and healthcare technology.
Job Description
About the Role
As a Full-Stack AI Engineer at StellDirVor GmbH, you will play a pivotal role in the development of ARAIAS, an AR- and AI-based hands-free training and assistance system for chronic wound care. Your expertise in computer vision, back-end engineering, and AI model development will be crucial in driving the project forward. You will work closely with a lean team, taking initiative and owning problems end-to-end to ensure the successful implementation of the system.The role involves designing and building AI models for wound analysis, applying computer vision techniques to real medical imaging challenges, and handling pre-processing and post-processing of multi-sensor imaging data. You will also be responsible for designing and building REST APIs, cloud infrastructure, and data pipelines that connect and support all system components.
StellDirVor GmbH is an independent consulting, trade, and technology company specializing in immersive technologies for healthcare. The company supports organizations in implementing digital innovations, including Virtual, Augmented, and Mixed Reality, as well as AI, particularly for learning, training, and real-time assistance in clinical and care environments.
What You Will Do
- Design and build AI models for wound analysis, focusing on architecture decisions, evaluation, and iteration to achieve reliable, clinically meaningful outputs.
- Apply computer vision techniques, including object detection, segmentation, depth estimation, and 3D reconstruction, to real medical imaging challenges.
- Handle pre-processing and post-processing of multi-sensor imaging data, including 2D images, depth maps, and other sensor inputs.
- Design and build REST APIs and cloud infrastructure that connect and support all system components.
- Prototype hardware-software integration, interfacing with smartglass SDKs and sensor APIs to establish data capture pipelines from device to back-end.
- Design and build REST APIs, cloud infrastructure, and data pipelines that connect and support all system components.
- Integrate AI models into application layers, focusing on inference endpoints, model serving, versioning, and performance monitoring.
- Make pragmatic architectural decisions suitable for the current prototyping stage.
- Set up CI/CD, containerization, and basic observability to keep the team moving fast.
- Support integration points between the back-end/AI layer and the Unity-based front-end.
What We Are Looking For
- Hands-on experience with computer vision, including image segmentation, object detection, and classification.
- Experience designing and adapting model architectures, going beyond basic fine-tuning to make informed decisions about model structure, loss functions, and training strategies.
- Ability to evaluate model outputs critically, understanding what the results mean in context.
- Back-end engineering proficiency, with REST API design and Python as the primary language.
- Cloud platform experience, including AWS, GCP, or Azure.
- Comfort working with hardware SDKs and APIs, and the ability to independently navigate technical documentation and integration guides to establish device-to-server data flows.
- Comfortable with Docker and basic CI/CD pipelines.
- Familiarity with ML tooling, including PyTorch or TensorFlow.
- Fluency in English, with German being a bonus.
Nice to Have
- Database experience, including PostgreSQL, NoSQL, or object storage (S3/GCS).
- Unity experience or familiarity with Unity's integration patterns.
- Familiarity with semi-supervised learning, leveraging limited or partially labeled data.
Benefits and Perks
- The opportunity to work on a cutting-edge AI and healthcare technology project.
- Remote work arrangement, allowing for flexibility and work-life balance.
- Collaborative and dynamic team environment.
- Professional development opportunities, including training and conference attendances.
- Competitive compensation package, including salary and benefits.
- Access to the latest technologies and tools, including cloud platforms and ML tooling.
- Recognition and reward for outstanding performance and contributions.
How to Stand Out
- Make sure to highlight your experience with computer vision, AI model development, and back-end engineering in your application.
- Familiarize yourself with the company's technology stack, including Python, cloud platforms, and ML tooling, to demonstrate your enthusiasm and potential for growth.
- Prepare to discuss specific examples of your experience with AI model development, computer vision, and back-end engineering during the interview process.
- Showcase your ability to work independently and make pragmatic technical decisions, highlighting your experience with problem-owning and end-to-end solution development.
- Be prepared to discuss your understanding of the current state of AI and computer vision in healthcare, and how you can contribute to the company's mission and goals.
- Consider including a portfolio or examples of your previous work, demonstrating your expertise in AI, computer vision, and back-end engineering.
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