Description
At LegalOn Technologies, the AI Foundation team is responsible for developing the machine learning infrastructure that supports the core AI capabilities of our products. This includes building domain-specific Adapted models and promoting AI engineering best practices within our product development teams.
In this role, you will be responsible for developing and maintaining a flexible and reliable MLOps/LLMOps platform. You will also work closely with data scientists and ML engineers to understand their needs, provide technical leadership, and ensure those needs are met from a technical perspective.
■What mission or challenges will you take on?
We build automated MLOps and LLMOps infrastructure and tools to streamline machine learning workflows and support the development of innovative ML projects across the company.
■What tasks will you undertake?
- Development and maintenance of MLOps and LLMOps platforms, ensuring flexibility and reliability
- Staying up to date with the latest advancements in machine learning and AI, particularly best practices in LLMOps
- Collaboration with ML engineers, domain experts and SRE.
- Optimization of data processing and model training pipelines
- Implementation of automated testing and deployment for machine learning models
For more details about our company, products, and development organization:
https://legalforce-recruit.notion.site/LegalOn-Technologies-3e114a8aecfb410a96424e34a0ed8bd6
List of Research Achievements:
https://legalforce-recruit.notion.site/Publications-LegalOn-Technologies-Research-4b91fec1eb7641a6a26f6df7794ad47a
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3+ years of backend development experience or equivalent skills
- Proficiency in at least one programming language
- Strong familiarity with MLOps and LLMOps principles and tools
- Knowledge of software engineering best practices
- Strong problem-solving, analytical, and communication skills
- Japanese language proficiency equivalent to JLPT N2
Preferred Experiences
- Experience working with machine learning using ecosystems like TensorFlow or PyTorch
- Development experience with Python or Rust
- Experience in server development using container technologies like Docker
- Ability to utilize cloud infrastructure (AWS, GCP, Azure) following Infrastructure as Code (IaC) best practices
- Experience collaborating across multiple teams to drive technical coordination and integration
Working Conditions
Salary | 7 to 19 million yen per year |
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Location | 19F, Shibuya Sakura Stage SHIBUYA TOWER, 1-1 Sakuragaoka-cho, Shibuya-ku, Tokyo 150-6219, Japan This is not a cross-border full-remote position, and you are required to come to Japan. |
Job Type | Full-time |
Work hours | - Working hours: Full flex system without core hours - Overtime Work Beyond Designated Working Hours: Yes - Break time: 1 hour |
Probation period | 3 months |
Benefits | Holidays: Saturdays, Sundays, and national holidays Time Off: Year-end and New Year holidays, paid leave, Special Leave (sick leave, work-life balance holiday,Birthday holiday), maternity leave, childcare leave, nursing leave Social Insurance: Health insurance, employee pension insurance, unemployment insurance, worker's compensation insurance Language Learning Support Technical Book Purchase Support Influenza Vaccination Support No Smoking Indoors (Smoking room available in the building) Permission Required for Side Jobs |
Company information
Name | 株式会社LegalOn Technologies |
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Established | 2017年4月 |
Address | 東京都渋谷区桜丘町1-1 渋谷サクラステージSHIBUYAタワー19階 |
Capital | 178.5億円(資本準備金含む。2022年6月時点) |
Employees | 約603名(役員含む/2025年1月時点) |