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DZAI-31-AI Engineer - DealOn

株式会社LegalOn Technologies · 19F, Shibuya Sakura Stage SHIBUYA TOWER, 1-1 Sakuragaoka-cho, Shibuya-ku, Tokyo 150-6219, Japan This is not a fully remote position. Hybrid work is required, and visa support is available.

RemoteExternal listingfull-time3 months ago

About The Role

# DZAI-31-AI Engineer - DealOn

## 仕事概要

LegalOn Technologies is a global leader in legal AI solutions, trusted by more than 8,000 companies and law firms worldwide. The company empowers legal teams to review and negotiate contracts faster, with greater accuracy and confidence. Operating across Japan, the United States, and Europe, LegalOn is the first AI company from Japan to surpass ¥10 billion in annual recurring revenue (ARR) and has raised over $200M from leading investors including SoftBank and Goldman Sachs. It also has one of the largest and most global AI teams of any startups in Japan. In 2025, LegalOn achieved its first M&A by welcoming Germany's Fides Technology into the group, further accelerating global expansion. LegalOn combines LLMs, intelligent Agents and intelligent AI-driven workflows. Beyond legal, the company now offers specialized AI solutions including "CorporateOn," "CXOn," and "DealOn" to support diverse business domains requiring high expertise. In partnership with OpenAI, the company is redefining the legal AI landscape and developing innovative solutions for the future of professional work.

For more details about our company, products, and development organization

<https://legalforce-recruit.notion.site/LegalOn-Technologies-Candidate-Handbook-17d82a58637480d2836ae138e5b5ee95>
### Mission and Challenges

  • Own the design, development, and operation of AI-native features centered on RAG, LLMs, and AI agents, going beyond model implementation to deeply integrate with UI/UX and business workflows to deliver truly usable AI experiences
  • Lead end-to-end decision-making across model selection, inference architecture, RAG design, and agent design based on specific use cases, balancing both quality and speed
  • Design and implement robust operational frameworks—including evaluation, monitoring, logging, and cost optimization—to continuously improve and maintain a reliable and trustworthy AI experience

### What You’ll Do

  • Design and implement highly reliable agent-based LLM workflows for production environments
  • Build execution infrastructure for AI agents by integrating with external services and internal APIs
  • Evaluate and select appropriate external models, frameworks, and services based on use case fit
  • Translate user needs into concrete requirements through stakeholder discussions, and collaborate cross-functionally to design optimal agent-based solutions
  • Establish testing frameworks and monitoring systems to evaluate agent performance, and visualize key metrics
  • Define development processes and quality standards through code reviews and comprehensive documentation
  • Identify and address technical challenges to ensure the accuracy, reliability, performance, and scalability of AI systems, driving continuous improvement

## 必須スキル

LegalOn Technologies is a global leader in legal AI solutions, trusted by more than 8,000 companies and law firms worldwide. The company empowers legal teams to review and negotiate contracts faster, with greater accuracy and confidence. Operating across Japan, the United States, and Europe, LegalOn is the first AI company from Japan to surpass ¥10 billion in annual recurring revenue (ARR) and has raised over $200M from leading investors including SoftBank and Goldman Sachs. It also has one of the largest and most global AI teams of any startups in Japan. In 2025, LegalOn achieved its first M&A by welcoming Germany's Fides Technology into the group, further accelerating global expansion. LegalOn combines LLMs, intelligent Agents and intelligent AI-driven workflows. Beyond legal, the company now offers specialized AI solutions including "CorporateOn," "CXOn," and "DealOn" to support diverse business domains requiring high expertise. In partnership with OpenAI, the company is redefining the legal AI landscape and developing innovative solutions for the future of professional work.

For more details about our company, products, and development organization

<https://legalforce-recruit.notion.site/LegalOn-Technologies-Candidate-Handbook-17d82a58637480d2836ae138e5b5ee95>
### Mission and Challenges

  • Own the design, development, and operation of AI-native features centered on RAG, LLMs, and AI agents, going beyond model implementation to deeply integrate with UI/UX and business workflows to deliver truly usable AI experiences
  • Lead end-to-end decision-making across model selection, inference architecture, RAG design, and agent design based on specific use cases, balancing both quality and speed
  • Design and implement robust operational frameworks—including evaluation, monitoring, logging, and cost optimization—to continuously improve and maintain a reliable and trustworthy AI experience

### What You’ll Do

  • Design and implement highly reliable agent-based LLM workflows for production environments
  • Build execution infrastructure for AI agents by integrating with external services and internal APIs
  • Evaluate and select appropriate external models, frameworks, and services based on use case fit
  • Translate user needs into concrete requirements through stakeholder discussions, and collaborate cross-functionally to design optimal agent-based solutions
  • Establish testing frameworks and monitoring systems to evaluate agent performance, and visualize key metrics
  • Define development processes and quality standards through code reviews and comprehensive documentation
  • Identify and address technical challenges to ensure the accuracy, reliability, performance, and scalability of AI systems, driving continuous improvement

## 歓迎スキル
### Preferred Skills / Qualifications

  • Experience building and operating search infrastructure using Elasticsearch, OpenSearch, Vespa, or similar technologies
  • Experience designing systems that integrate knowledge graphs or structured data with RAG
  • Experience designing and operating systems in cloud environments such as AWS, Google Cloud, or Azure
  • Experience preprocessing and normalizing unstructured text data, such as customer emails, FAQs, and product documentation

## 求める人物像
## 応募概要
### 給与
7.7million to 15million yen per year
### 勤務地
19F, Shibuya Sakura Stage SHIBUYA TOWER, 1-1 Sakuragaoka-cho, Shibuya-ku, Tokyo 150-6219, Japan
This is not a fully remote position. Hybrid work is required, and visa support is available.
### 雇用形態

Full-time

### 勤務体系

  • Working hours: Full flex system without core hours
  • Overtime work beyond designated working hours: Yes
  • Break time: 1 hour

### 試用期間
3 months
### 福利厚生

Work Environment & Tools

  • Choice of laptop: Mac or Windows (Mac with US keyboard available)
  • Access to generative AI tools:

ChatGPT Enterprise, Notion AI, Gemini for Google Workspace, Slack AI

  • Access to developer tools:

Claude Code, Cursor, GitHub Copilot, Devin, Codex, Figma AI, and more

  • Side jobs permitted with prior approval

Professional Development

  • Self-development support available for books, online courses, certifications, and more
  • Language learning support

Time Off

  • Weekends and national holidays off
  • Paid leave and year-end/New Year holidays
  • Special leave: sick leave, work-life balance leave, birthday leave
  • Maternity leave, childcare leave, and nursing care leave

Health & Welfare

  • Social insurance coverage: Health insurance, employee pension insurance, unemployment insurance, and worker’s compensation insurance
  • Influenza vaccination support
  • No indoor smoking (a designated smoking room is available in the building)
  • Employee stock ownership program
  • Certified as an “Eruboshi” company (recognized for promoting women’s participation and advancement in the workplace)

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