AI Engineer

This AI Engineer works with a Technical Solution Architect to define prototypes with customers and deliver AI models as operational systems. The role combines customer discussions, model development, software implementation, deployment, and operational monitoring.

Responsibilities include defining prototype requirements with customers, implementing prototypes, adjusting specifications and code from customer feedback, and developing or deploying systems in restricted networks and customer facilities. The engineer designs, trains, and evaluates satellite-image analysis models and generative AI systems, customizes existing internal models, and performs additional training for field requirements. The role also covers training and inference pipelines, preprocessing and postprocessing, API integration, operations monitoring, and incorporating field information and edge cases into model improvements.

The position includes designing secure cloud architectures using AWS, GCP, or Azure and, when necessary, implementing systems in on-premises environments. The engineer builds maintainable systems using infrastructure as code, containers, and CI/CD while accounting for customer-environment constraints. Travel may be required for implementation and deployment in customer environments, and some work must be performed at customer facilities because of restricted networks and secure environments.

Required experience includes at least two years of professional software development with Python and at least two years of professional development using container technologies such as Docker. Applicants should have practical experience developing and evaluating machine-learning models, including use of deep-learning frameworks such as PyTorch or TensorFlow. Experience with training or inference pipelines, system integration of models, or MLOps is required, as is experience building systems on at least one of AWS, GCP, or Azure. Familiarity with IaC, containers, and CI/CD, plus experience developing while communicating with customers or non-engineers, is also required. The posting states that the security-clearance eligibility requirements must be met.

Experience with LLM or generative-AI application development, GIS or satellite-image projects, secure environments, government projects, personal AI-service development, or competitions such as Kaggle is welcomed. GIS, satellite-image processing, and security or intelligence experience are not required because onboarding support is provided.

The role is permanent full-time employment with no fixed contract period and a six-month probationary period. Annual salary is ¥8,000,000 to ¥15,000,000, including deemed overtime pay for 45 hours per month; excess overtime is paid separately. Bonuses are paid twice a year based on performance. The work location is in Otemachi, Chiyoda-ku, Tokyo. The position uses a discretionary work system with eight deemed working hours per day; during probation, a flextime system applies. Remote work is generally one office day per week, with customer visits and field investigations as needed. Benefits include health, pension, employment, and workers’ compensation insurance, transportation reimbursement up to ¥40,000, paid leave, refresh leave, study and career support, learning expenses, and patent rewards.