AI Integration Engineer

FotoFinder Systems GmbH; Bayern; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

FotoFinder Systems GmbH seeks an experienced software engineer to advance AI capabilities across Windows, cloud, and mobile platforms. You will collaborate with AI engineers to turn research prototypes into production software, and you will develop APIs and interfaces to connect AI services with FotoFinder products.

Within the first 6–12 months you will integrate AI features, deploy services on AWS, and ensure performance and reliability.

Qualifikationen

• 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.

Aufgaben

• Implement and integrate AI models into Windows, cloud and mobile applications.
• Develop and maintain APIs and interfaces between AI services and software systems.
• Support integration with external partner solutions.
• 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.
• 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.
• Support integration of computer vision pipelines into production software.
• Optimize image acquisition, preprocessing and inference workflows.
• Contribute to AI integration for medical imaging applications.
• Work closely with AI, Software, QA, Product and Cloud teams.
• Support technical planning and implementation of AI features.
• Communicate technical progress and integration challenges.
• Integrate AI capabilities into FotoFinder products.

Kenntnisse

Python

C#

C++

APIs & microservices

Docker & Kubernetes

Cloud platforms (AWS)

AI inference basics

Computer vision basics

MLOps basics

Communication & teamwork

Analytical mindset

Tools

ONNX Runtime

NVIDIA Triton

TensorRT

PyTorch

TensorFlow

Jobbeschreibung

• 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