Cyient
Generative AI Application Developer
Skills
20 days ago
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Important information
Contract type:
Permanent
Location:
Tokyo, Japan
Work mode:
Onsite
Published on:
30 September 2026
What they need
Generative AI / Physical AI Application Developer
Location: Tachikawa, Japan
Japanese Level: N2 and above
Responsibilities:
- Develop advanced applications leveraging Generative AI (VLM – Vision Language Models) technologies.
- Design, build, and maintain evaluation environments for VLM models to assess performance and accuracy.
- Develop applications utilizing Physical AI technologies , including robotics and real-world AI systems.
- Perform end-to-end setup of development and validation environments for emerging AI technologies.
- Conduct technical feasibility studies and PoC (Proof of Concept) for new AI/ML innovations.
- Collaborate with internal and external stakeholders (manufacturing, railway, automotive domains).
- Prepare design documents and technical documentation as part of development lifecycle.
- Work in Linux-based development environments for AI and system integration.
- Ensure smooth deployment and integration of AI applications across platforms.
Required Skills:
- Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related field.
- Experience range: 3-7
- Strong programming expertise in C, C++, and Python .
- Hands-on experience with Linux-based development environments .
- Understanding of Generative AI concepts , especially Vision-Language Models (VLM).
- Experience in software design, development, and documentation preparation .
- Good communication skills and ability to collaborate across teams.
Preferred Skills:
- Strong experience with AWS cloud platform for AI/ML workloads.
- Experience in image processing and computer vision , using tools like OpenCV .
- Hands-on experience with NVIDIA GPUs (A10 / L40 / CUDA-based environments).
- Experience in containerization and deployment using Docker .
- Exposure to Physical AI / Robotics development (NVIDIA Isaac, robotics frameworks, etc.).
- Knowledge of Digital Twin technologies (e.g., NVIDIA Omniverse).
- Familiarity with AI-based industrial applications in manufacturing, automotive, or railway sectors.
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