仕事内容About JAPAN AI
JAPAN AI, Inc. was established in April 2023 as a group company of Geniee, Inc. (TSE Growth Market) with the mission of dramatically expanding human potential through AI technology. We drive cutting-edge AI R&D both domestically and internationally.
Our ambition goes far beyond building AI chatbots. We are building "the brain of the enterprise"ーa next-generation core system where AI autonomously executes business operations by integrating all of a company's SaaS tools. With JAPAN AI STUDIO at the center, we are implementing a world whereーgiven a databaseーno separate application is needed; AI performs the work and returns only the results.
Through the transformative power of AI, we aim to create new value and contribute to the advancement of society as a whole. Join us in leading AI innovation and shaping a future where technology empowers people to achieve more.
Why We're Hiring
JAPAN AI STUDIO aims to function as "the brain of the enterprise"ーintegrating every SaaS tool a company uses and enabling AI agents to autonomously execute hundreds of workflows. However, realizing this vision requires breaking through "frontier challenges" that current agent technology cannot solve:
Reasoning quality limits when searching and integrating information across multiple SaaS platforms
Long-term memory design that retains context across extended business processes
Multimodal handling that unifies text, images, audio, and structured data
Low-latency inference in environments where hundreds of companies operate simultaneously
Over the past year, adoption of LLM-powered agent systems has accelerated rapidlyーfrom coding and research to customer support and security. Looking ahead to a future where AI agents handle increasingly complex tasks end-to-end or in collaboration with humans, JAPAN AI is strengthening the team that will:
Build more effective agents for long-horizon tasks
Design coordination mechanisms for agents to collaborate at various scales
and accomplish larger objectives
Solve the necessary challengesーnovel harness design, infrastructure improvements, fine-tuningーto maximize agent performance
Mission
"Solve the problems that make today's agents give up."
Take on frontier challenges that today's AI agents cannot solve. Break through the quality limits of reasoning, retrieval/planning, long-term memory, and tool use. Pave the wayーthrough researchーfor a future where hundreds of workflows running on JAPAN AI STUDIO operate smarter, faster, and more safely.
Role&Expectations
As a Research Engineer, you will lead cutting-edge and applied research in AI/LLM/ML:
Conceive, develop, and compare different agent harnesses (memory, context compression, inter-agent communication architectures, etc.)
Design and implement rigorous quantitative benchmarks for large-scale agentic tasks
Support automated evaluation of models and prompts, ensuring quality across the entire lifecycleーfrom training to production
Collaborate with the product organization to solve the hardest challenges in applying agents to products
Create and optimize training data mixes to improve agent task performance and usability
Transfer research outcomes to the Agentic Product Engineer team, raising quality across all products
Writing papers is not the goal. We prioritize applying research to production and delivering results to users in a live environment serving approximately 200 companies.
Why You'll Love This Role
Research that powers "the brain of the enterprise"ーThis is not about improving chatbots. You will build the technical foundation for a next-generation core system where AI autonomously executes operations by integrating all enterprise SaaSーand you will do it through research.
Research→Production, directly connectedーYour methods are immediately deployed to a production environment used by～200 companies. This is not research that ends with a paperーyou will feel real-world impact.
Cutting-edge AI research in practiceーWork on the industry's frontier challenges: breaking reasoning quality limits, designing long-term memory, orchestrating multi-agent coordination, and more.
Research and publication, side by sideーWe encourage paper publication and tech blog writing, and actively support collaboration with academic institutions and OSS communities.
Impact through technology transferーTransfer your methods to the Agentic Product Engineer team and exercise leadership in raising quality across all products.
Rapid-growth environmentーIn a startup that has grown to 200+people and 9 products in just 3 years, you will have significant autonomy in technical decision-making.
Job Description
Agent Research&Development
Conceive, develop, and compare different agent harnesses (memory, context compression, inter-agent communication architectures, etc.)
Research and develop new reasoning, planning, and retrieval methods
Develop technologies for multimodal and long-context handling
Survey, reproduce, and improve upon the latest research papers
Evaluation&Benchmarking
Design and implement rigorous quantitative benchmarks for large-scale agentic tasks
Design synthetic data generation and evaluation benchmarks
Support automated evaluation of models and prompts (across the full lifecycle from training to production)
Production Problem-Solving
Optimize inference latency and cost (quantization, distillation, caching, etc.)
Create and optimize training data mixes
Advance agent evaluation frameworks
Improve quality and tune performance in production environments
Knowledge Transfer&Outreach
Transfer technology and mentor the Agentic Product Engineer team
Collaborate with academic institutions and OSS communities
Key Results (KR/Metrics)
Benchmark score improvement rate (internal and public benchmarks)
Number of novel methods shipped to production (per quarter)
Inference latency and cost reduction rate
Number of papers and technical blog posts published
Number of internal knowledge transfers completed
Team Structure
Approximately 120 members are part of the development organization.
Research Engineers work across the following groups:
JAI LabーAI research and development
AI&ModelーModel training and optimization
Voice&TelーSpeech AI and telephony systems
Closely collaborating roles:
Agentic Product EngineerーAgent feature development (primary research transfer target)
Agent Harness EngineerーAgent execution infrastructure
AI Quality ScientistーEvaluation pipeline collaboration
Product ManagerーProduct design and prioritization
経験・資格You May Be a Good Fit If You
Master's or Ph.D. in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Mathematics, Physics, or related fields
Experience developing complex agentic systems using LLMs
Significant hands-on experience in software engineering and ML
Experience with LLM prompt engineering and/or building products with language models
Experience with large-scale model training and inference using PyTorch or JAX
Deep understanding of LLM and Transformer architectures
Ability to read, reproduce, and improve upon research papers
Strong implementation skills in Python (production-quality code)
Language requirement (at least one of the following):
Japanese: Fluentーable to discuss product development without friction
English: Business level
Strong Candidates May Also Have
Experience with large-scale reinforcement learning on language models
Experience designing and implementing multi-agent systems
Publications at top-tier conferences (NeurIPS, ICML, ACL, EMNLP, or equivalent)
Hands-on experience implementing alignment techniques such as RLHF or DPO
Experience with multimodal models (e.g., Vision-Language models)
Background in agent evaluation or AI safety research
Ph.D. in CS, ML, NLP, or a related field
Ability to communicate research findings in English
Tech Stack
Languages: Python (research / framework), TypeScript / React / Next.js (frontend) / NX
ML/AI: PyTorch, JAX, Transformers, vLLM, Weights&Biases
Infrastructure: GCP (containers / K8s), Docker
Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion
AI Dev Support: Claude Code MAX Plan, Cursor, ChatGPT, Devin
Hardware: Mac (Apple Silicon), dual monitors
勤務地
想定年収
福利厚生・待遇
勤務条件10:00～19:00
※土日祝は休業日となります
※出向の場合は、出向先の規程に準じます
================
●Work Style
Hybrid work : 3 days in office, 2 days remote
Flexible working hours : Core time is negotiable
Flexibility : Future consideration for more flexible work styles is possible
完全週休二日制
所定休日：土・日・祝日
休暇：年次有給休暇、夏季休暇（3日）、年末年始休暇（12月31日～1月3日）、慶弔休暇
1か月
社会保険完備（健康保険：関東ITソフトウェア健康保険組合）
Recruiting No.
社名
事業内容
【東証プライム上場 日本最大級の発電会社】 電力需給統括部 電力需給システム開発プロジェクトリード担当
【総合重電機メーカー直系 老舗コンサルティング会社】 先端テクノロジー・データサイエンス分野のコンサルタント
【東証プライム上場 有名電機メーカーグループ】 技術系総合職
全員参加型のビジネス変革が成果を生み出し、キャリア人材の成長機会が増え続けています。
人々の生活や命を支えるため、「食料・水・環境」分野で地域に根ざした事業にチャレンジする
高度な専門性を持ち、お客様の業務に精通したSEと営業が一丸となり、 お客様のビジネスの成長を “攻めと守り”のITで支援。
世界に向かうデジタルビジネスのパートナーとして、売上拡大とコスト最適化を支援しています。
エネルギー、インフラ、ストレージ。3つの注力事業において、新しい人材が 「新生東芝」 を動かし始めています。
グローバル展開する企業のプライムパートナーとして、経営から製造現場まで、多様な課題の解決をITで支援。
