Appealing Points:
- Build Cutting-Edge AI Applications: Develop innovative solutions using Generative AI, LLMs, Vision-Language Models (VLMs), multimodal AI, and Physical AI technologies across real-world applications.
- Work with Advanced Digital Twin & Edge Technologies: Gain hands-on exposure to NVIDIA Omniverse, Digital Twins, Edge AI, robotics, cameras, sensors, and cloud platforms while integrating AI into intelligent systems.
- Drive AI Innovation from PoC to Deployment: Participate in research, prototyping, and PoCs while collaborating with cross-functional teams to design, optimize, and deploy scalable AI solutions.
Annaul Salary: 7 Million yen and Above
Job Responsibilities:
- Develop AI applications based on project requirements using modern AI technologies.
- Build AI applications leveraging Generative AI, Vision-Language Models (VLM), multimodal AI, and related technologies.
- Design and implement AI modules for intelligent automation, computer vision, and AI-driven solutions.
- Develop and integrate AI solutions using digital twin platforms such as NVIDIA Omniverse or similar technologies.
- Integrate AI applications with edge devices, cloud platforms, enterprise systems, cameras, and sensors where applicable.
- Participate in technical research, prototype development, and Proof of Concept (PoC) activities.
- Collaborate with cross-functional teams throughout design, development, testing, and deployment.
- Troubleshoot and optimize AI applications for performance, scalability, and reliability.
- Contribute to software architecture discussions and technical documentation.
Job Qualification:
- 5+ years of software development experience.
- Strong hands-on experience in AI/ML application development.
- Practical experience with Generative AI, LLMs, VLMs, or other modern AI technologies.
- Experience in software design, development, and system integration.
- Strong analytical and problem-solving skills.
Preferred Skills:
- Programming experience in Python and/or C++.
- Experience with NVIDIA Omniverse or Digital Twin platforms.
- Exposure to Robotics and Physical AI technologies.
- Knowledge of Edge AI, cameras, sensors, and cloud AI deployment.
- Experience working in Agile development environments.
Language Proficiency: Conversational Level Japanese (JLPT N3 and above) and Business Level English.
Company Description:
We are a technology-led software services company that fulfills technology companies' software product development needs worldwide. As a trusted partner of today’s enterprises, we build software solutions for the future. We aim to understand our customers' needs and aspirations to deliver software that aligns with their vision. We are passionate about creating future-ready software focusing on superior user experience and ultimate simplicity.Specializing in mobile, web, and cloud-based software development services across various industry verticals, we cater to customers globally. We focus on developing next-generation software products that require a deep understanding of communication networks, operating system internals, device diversity, and critical system resources. Our core strength lies in combining these engineering environments to create cutting-edge software solutions.
. Skillset Required: Generative AI, LLMs, Vision-Language Models (VLM), Multimodal AI, Physical AI, NVIDIA Omniverse, Digital Twins, Edge AI, Robotics, Cameras, Sensors, Cloud Platforms, AI, Machine Learning, Intelligent Automation, Computer Vision, Digital Twin Platforms, Edge Devices, Enterprise Systems, Technical Research, Prototype Development, Proof of Concept (PoC), Cross-Functional Collaboration, Software Design, Software Development, Testing, Deployment, Troubleshooting, Performance Optimization, Scalability, Reliability, Software Architecture, Technical Documentation, AI/ML Application Development, System Integration, Analytical Skills, Problem-Solving, Python, C++, Cloud AI Deployment, Agile Development, Mobile Development, Web Development, Cloud-Based Software Development, Communication Networks, Operating System Internals, Device Diversity, Critical System Resources, Software Product Development, User Experience
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