仕事概要
About LEGALON TECHNOLOGIES, INC.
LegalOn is a global leader in AI for in-house legal teams. We help corporate counsel guide, govern, and grow their businesses with speed and sound judgment. By combining trusted legal expertise with agentic AI that adapts to each customer’s policies and practices, LegalOn delivers the first productivity platform for everyday legal work across contracting, counseling, and governance.
From advanced tools for contract review and matter management to a legal AI assistant that can research, answer questions, and draft, LegalOn helps teams save up to 85% of time on routine work — expanding what they take on without compromising quality or control.
Trusted by 8,000+ organizations worldwide, LegalOn is backed by $200 million from leading investors, including Goldman Sachs and SoftBank Vision Fund. With headquarters in San Francisco and Tokyo, and teams in London, Munich, and Singapore, LegalOn supports businesses of all sizes across industries and languages.
About the role
We are looking for a Senior Agentic AI Engineer to join our team. You will be at the forefront of designing, developing, and deploying agentic LLM workflows that leverage cutting-edge AI techniques to streamline contract workflows, with a strong focus on the legal domain. This is a unique opportunity to apply your expertise in AI and software engineering to solve complex, real-world challenges in a high-impact setting.
Responsibilities:
- Design and implement robust agentic LLM workflows for production.
- Integrate AI solutions with existing SaaS platforms, internal APIs, and legal workflow systems.
- Evaluate third-party models, frameworks, and services to determine their suitability and integration potential.
- Collaborate with cross-functional teams to gather requirements, understand user needs, and deliver high-impact agent solutions.
- Build tooling and observability to monitor, test, and evaluate AI agent performance.
- Conduct code reviews and maintain best practices in documentation and version control.
- Diagnose and resolve issues in AI systems to ensure accuracy, reliability, performance, and scalability.
必須スキル
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 3+ years of experience in developing agent products or similar AI applications.
- Strong proficiency in Python.
- Strong understanding of LLMs, retrieval (RAG), and agent orchestration.
- Experience with AI frameworks and agent development tools (e.g., LangGraph, CrewAI, MCP).
歓迎スキル
- PhD. in a relevant technical field.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Knowledge of NLP techniques, RAG systems, and prompt engineering.
- Contributions to open-source projects or publications in AI research.
- Experience deploying and maintaining AI models in production environments.
- Strong communication skills, with the ability to communicate effectively across diverse cultures in both English and Japanese.
Process:
Our hiring process is designed to be collaborative and transparent, and typically includes:
1st interview with the Hiring Manager
2nd interview with team members: coding interview
Additional interview (if required)
Final interview with the Group CAIO
LegalOn is an equal opportunity employer committed to building an inclusive workplace, and we encourage applications from individuals of all backgrounds. LegalOn does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
応募概要
| 勤務地 | 19F, Shibuya Sakura Stage SHIBUYA TOWER, 1-1 Sakuragaoka-cho, Shibuya-ku, Tokyo 150-6219, Japan |
|---|---|
| 勤務体系 | Working hours: Full flex system without core hours It may be required to work overtime Break time: 1 hour |
| 試用期間 | 3 months |
企業情報
| 企業名 | 株式会社LegalOn Technologies |
|---|---|
| 設立年月 | 2017年4月 |
| 本社所在地 | 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 |
| 資本金 | 201.5億円(資本準備金等含) |
| 従業員数 | 約632名(役員含む/2026年4月時点) |