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Generative AI Application Developer

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Onsite

Generative AI Application Developer

Cyient

Generative AI Application Developer

Skills

DockerPythonMachine LearningAIAWSLinux

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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