AI Engineer (Associate to Senior)

This full-time AI Engineer role supports leading Japanese and industry-leading companies with data science engineering for AI transformation. The position covers the full process from proof of concept to minimum viable product development, production operation and ongoing improvement.

Responsibilities include researching and testing AI research, generative AI and MLOps frameworks, then preparing reusable internal modules and platforms. The engineer selects technologies, designs architectures and conducts PoCs to verify feasibility. Day-to-day work also includes data preprocessing, feature engineering, model development and tuning to create insights and prediction models for business problems. The role includes turning AI models into APIs, building MLOps platforms with dashboards, using operational feedback to improve deployed MVPs, and supporting client internalization through documentation, study sessions and workshops.

Required qualifications are at least two years of practical experience in machine learning and deep learning projects using Python; model development experience including fine-tuning with either PyTorch or TensorFlow; at least one year of API development experience with FastAPI, or experience designing and implementing APIs with Python web frameworks such as Django REST Framework or Flask; and practical CI/CD experience using Docker, GitHub Actions or similar tools. Business-level Japanese is required for requirements definition, client discussions and documentation.

Preferred experience includes business development using LLMs such as GPT-4 series, Llama or Mistral, or Diffusion Models; designing and operating data platforms with Kafka, BigQuery or Snowflake; using RAG frameworks such as LangChain or LlamaIndex; Terraform or CloudFormation-based IaC and zero-trust network design; and leading projects or developing people as a technical leader.

The engineer works with consultants, data scientists, engineers and project managers in teams that address client business and DX challenges. The role involves both business and technical work, including technology selection and project execution.

The work location is in Chuo-ku, Tokyo, and remote work is available. Working arrangements are either a super-flextime system from 5:00 to 22:00 with no core time or a discretionary work system, with eight scheduled hours per day. Annual salary is JPY 5,000,000 to 14,000,000, determined based on experience, ability and previous salary. Salary is reviewed twice a year and includes an expected 30 hours of overtime per month, or 20 hours for some positions. Employment is as a regular employee with a six-month probationary period and no change to pay or treatment during that period.

Holidays include Saturdays, Sundays, national holidays, five days of year-end and New Year leave, three days of summer leave that can be taken freely from July through September, and other company-designated days. Benefits include full transportation reimbursement, access to AI training, company-issued PC and mobile phone where applicable, flexible clothing and hairstyle rules, company-loaned books for study, optional company events, a discounted vending machine and free coffee. Health insurance, employees' pension, workers' accident insurance and employment insurance are provided. The office is entirely non-smoking, and ten days of paid leave are granted six months after joining, followed by statutory provisions. The selection process is document screening, first interview, case interview and final interview; the case and final interviews are generally conducted in person.