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東京都のAIエンジニアの求人341件応募資格・募集要項・仕事内容を見る
AI Engineer - DealOn
- 給与
- 記載なし
- 勤務地
- 東京都
- 休日
- Weekends and national holidays off
- 雇用形態
- 正社員
- ※Side jobs permitted with prior approval
どんな仕事かAIによる生成
Design, develop, and operate AI-native features centered on RAG, LLMs, and AI agents for DealOn. Build reliable agent-based LLM workflows and AI agent execution infrastructure, and select models, frameworks, and services based on use cases. Establish testing and monitoring systems to evaluate agent performance and drive continuous improvement.
この求人に応募
応募資格
必須
- 5+ years of development experience in at least one of the following: Python, TypeScript, or Go
- Hands-on experience building applications using LLM APIs (e.g., OpenAI, Anthropic, Google Gemini, Mistral)
- Practical experience developing AI agents (e.g., LangChain, CrewAI, OpenAI Agents SDK, Google ADK, MCP) and working with context engineering
- Experience designing and implementing RAG systems, including embeddings, vector databases, and retrieval algorithms
- Experience improving generation quality through prompt optimization and the design of evaluation metrics
- Solid foundation in natural language processing (NLP) and experience building data pipelines
- Japanese proficiency equivalent to JLPT N1
歓迎
- 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
募集要項最終確認 10/16
- 職種
- AIエンジニア
- 雇用形態
- Full-time3 months
- 給与
- 記載なし
- 給与の詳細
- 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
- 働き方
- This is not a fully remote position. Hybrid work is required, and visa support is available.
- 勤務時間
- Working hours: Full flex system without core hoursOvertime work beyond designated working hours: YesBreak time: 1 hour
- 休日・休暇
- Weekends and national holidays offPaid leave and year-end/New Year holidaysSpecial leave: sick leave, work-life balance leave, birthday leaveMaternity leave, childcare leave, and nursing care leave
- 福利厚生
- 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 AIAccess to developer tools:Claude Code, Cursor, GitHub Copilot, Devin, Codex, Figma AI, and moreSide jobs permitted with prior approvalSelf-development support available for books, online courses, certifications, and moreLanguage learning supportInfluenza vaccination supportEmployee stock ownership programCertified as an “Eruboshi” company (recognized for promoting women’s participation and advancement in the workplace)
- 社会保険
- Social insurance coverage: Health insurance, employee pension insurance, unemployment insurance, and worker’s compensation insurance
- 受動喫煙対策
- No indoor smoking (a designated smoking room is available in the building)
- 経験年数
- 5年以上
- 掲載日
- 2026/07/05 01:49（105日前）
- 最終確認
- 2026/10/16 16:41（2日前）
仕事内容
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
この求人は、株式会社LegalOn Technologiesの採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト
同じ会社の求人18件
- Head of Group Accounting
- AI Engineering Internship
- Analytics Engineer
- 総合職
- Software Engineering Internship
- AI Engineer - DealOn
職種と勤務地が似ている求人東京都のAIエンジニア 341件
- AIエンジニア（R&D/生成AI・マルチモーダル）
- AI開発エンジニア
- Applied AI Engineer
- Applied ML Engineer
- LLMエンジニア_GenAI Enablement
- AIエンジニア／ポテンシャル
募集元の採用ページから応募できます
応募は株式会社LegalOn Technologiesの採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
この求人と近い条件で探す数字はリンク先ページの掲載件数
応募資格の語から探す
- テック13,898
- Python4,991
- TypeScript2,378
- Go1,445
- LLM1,292
- OpenAI167
- Anthropic API58
- Google Gemini80
- AIエージェント987
- LangChain180
- MCP167
- 検索拡張生成（RAG）565
- ベクトルデータベース87
- アルゴリズム362
- プロンプトエンジニアリング270
- 自然言語処理242
- データパイプライン329
- 日本語5,084
- インフラ3,241
- Elasticsearch318
- OpenSearch145
- クラウド6,563
- AWS6,487
- Google Cloud3,727
- Microsoft Azure3,575
この職種で探す
- AIエンジニア422
- 東京都のAIエンジニア341
- テック13,898
- データエンジニア419
- データサイエンティスト269