AI Integration Engineer

Your responsibilities

AI Integration & Productization

• Implement and integrate AI models into Windows, cloud and mobile applications.
• Work with AI engineers to convert research prototypes into production software.
• Develop and maintain APIs and interfaces between AI services and software systems.
• Support integration with external partner solutions.

AI Platform & Integration

• Integrate AI inference services into existing product architectures.
• Implement REST APIs, microservices and messaging interfaces.
• Support deployment of AI services on AWS and container platforms.
• Troubleshoot integration and interoperability issues.

AI Operations & Deployment

• Support deployment, monitoring and maintenance of AI-enabled software.
• Optimize inference performance and system reliability.
• Work with DevOps teams on CI/CD and containerized deployments.

Computer Vision & Imaging

• Support integration of computer vision pipelines into production software.
• Optimize image acquisition, preprocessing and inference workflows.
• Contribute to AI integration for medical imaging applications.

Cross-functional Collaboration

• Work closely with AI, Software, QA, Product and Cloud teams.
• Support technical planning and implementation of AI features.
• Communicate technical progress and integration challenges.

Your Profile

Required Qualifications

• 3+ years of software engineering experience.
• Strong programming skills in Python, C#, C++ or similar.
• Experience integrating APIs, microservices and distributed systems.
• Experience with Docker, Kubernetes and cloud platforms (preferably AWS).
• Basic understanding of AI inference, computer vision and MLOps.
• Experience deploying and troubleshooting production software.
• Strong analytical mindset and hands-on implementation skills.
• Excellent communication and teamwork.

Nice to Have

• Experience with ONNX Runtime, NVIDIA Triton or TensorRT.
• PyTorch or TensorFlow experience.
• Computer vision or image-processing experience.
• Medical software or regulated environment experience.
• Experience with Windows desktop development and cloud integration.

Within your first 6–12 months, you will:

• Integrate AI capabilities into FotoFinder products.
• Support deployment of AI services across Windows, mobile systems and AWS.
• Implement reusable interfaces between AI and software components.
• Improve AI system reliability and performance.
• Contribute to the rollout of new AI-powered product features.
• Become a key technical contributor within the AI engineering team.

What We Offer

• A key role in shaping the future digital platform of a global MedTech leader
• Work on cutting-edge AI, imaging, and cloud technologies
• High degree of ownership and strategic impact
• Collaborative, international, and innovation-driven environment
• Flexible working model