We are supporting one of our clients, a Tokyo-based deep-tech AI startup, in hiring a Senior Software Engineer to work on advanced machine learning and computer vision technologies for real-world industrial applications. The company develops next-generation AI systems used by major enterprises across infrastructure, robotics, and smart city environments. In this role, you’ll work closely with technical leadership to design and implement algorithm-heavy systems combining computer vision, geometry, and AI to solve complex real-world challenges.
Design and implement algorithmic solutions for vision-based sensing systems
Develop Python-based AI/ML systems deployed on AWS
Build prototypes and production systems for infrastructure monitoring and computer vision applications
Translate mathematical models into scalable software solutions
Optimize models for accuracy, performance, and reliability in real-world environments
Collaborate closely with engineering leadership on system architecture and technical strategy
Why This Role is Interesting:
Work directly with a highly technical CTO and engineering leadership
Solve real-world algorithmic challenges in infrastructure and industrial AI
Join a fast-growing deep-tech startup working with major enterprise clients
High ownership and autonomy in a technically ambitious environment
8–10 years of experience in software engineering, AI, or machine learning development
Strong programming skills in Python
Experience with AWS or cloud-based ML environments
Solid understanding of algorithms, geometry, or mathematical modeling
Ability to independently drive end-to-end technical projects
Nice to Have:
Experience with OpenCV, PyTorch, or other computer vision frameworks
Background in computational geometry, robotics, or CAD systems
Exposure to deep learning or multimodal AI systems
Experience building AI systems for real-world industrial environments
If interested, please input your details in the form below and contact the email address indicated above or click the button to be redirected to the recruiter’s LinkedIn page.