【Research Engineer, LLM/Agent】AI SaaS / Hybrid / JLPT N3～

★Research Engineer, LLM/Agent | AI Consulting Services

• Business Level Japanese Required

◆ Hybrid Work

◆ Start-up Company

◆ Great Welfare

◆ Annual Salary： 6 million ～ 17 million yen.

-------------【About the company】-------------

The company aims to dramatically enhance the potential of the workforce by leveraging AI technology. Established in April 2023, the company drives cutting-edge AI research and development both domestically and internationally.

A primary focus is the development of AI Agents, providing innovative products and solutions powered by Large Language Models (LLMs). Through these initiatives, the company achieves significant productivity gains and operational efficiency across various industries.

By capitalizing on its startup agility to ensure flexible and rapid decision-making, the company integrates the latest technological advancements ahead of the curve to deliver optimal solutions to its clients. Furthermore, a diverse team with an international perspective bolsters its competitiveness in the global market.

The company is dedicated to creating new value and contributing to the progress of society through the transformative power of AI. The company's goal is to lead AI innovation and co-create a future where technology empowers people to achieve more.

-------------【 Job Description】-------------

【Recruitment Background】

The company’s platform aims to function as "the brain of the enterprise" — 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 — 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, the company 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 — novel harness design, infrastructure improvements, fine-tuning — to maximize agent performance

【Your Role】

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 — 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.

【Responsibilities】

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

【Team Structure】

Approximately 120 members are part of the development organization.

Research Engineers work across the following groups:

・JAI Lab — AI research and development

・AI & Model — Model training and optimization

・Voice & Tel — Speech AI and telephony systems

Closely collaborating roles:

・Agentic Product Engineer — Agent feature development (primary research transfer target)

・Agent Harness Engineer — Agent execution infrastructure

・AI QA Specialist — Evaluation pipeline collaboration

・Product Manager — Product design and prioritization

【Development Environment】

・Languages: Python (framework), TypeScript / React / Next.js (frontend) / NX

・Infrastructure: GCP (containers / K8s), Docker

・Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion, etc.

・Work Environment: Mac (Apple silicon), dual monitor support

-------------【 Requirements】-------------

【Required】

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 — able to discuss product development without friction

English: Business level

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【Working Hours】

10:00～19:00

【Holidays】

・Saturday/Sunday/National Holiday

・Annual Paid Leave

・New Year Holiday

【Welfare】

【For Full-time Employees】

Housing Allowance: Up to 30,000 JPY/month (applicable to designated areas/stations).

Employee Stock Ownership Plan (ESOP): Opportunity to participate in the company’s growth through stock ownership.

Health & Wellness: Annual periodic health checkups provided.

【For Contract Employees】

Health & Wellness: Annual periodic health checkups provided.

【Common Benefits (Full-time & Contract)】

Learning & Development Support:

・Book Purchase Subsidy: Up to 30,000 JPY per half-year for technical books and learning materials.

・Language & Certification Support: Coverage for Japanese/English learning programs and professional certifications (when required for business).

Work-Life Balance & Wellbeing:

・Monthly Refresh Allowance: Up to 5,000 JPY/month for wellness and entertainment (e.g., gym, yoga, massage, cinema, or theme park tickets).

・Refresh Leave: 2 days of special annual leave granted to employees with over 3 years of continuous service.

Social & Team Building:

・Club Activity Allowance: Up to 5,000 JPY/month to support interest-based internal communities.

・Shuffle Lunch/Dinner: Quarterly subsidies (up to 1,000 JPY for lunch / 5,000 JPY for dinner) to encourage cross-team communication.

Learning & Development (Tech-Specific Support)

The company is committed to providing a cutting-edge environment for creators and engineers.

・AI Tool Support:

Full company coverage for essential AI tools, including Proprietary SaaS services, Cursor, ChatGPT (Plus/Enterprise), Claude, and other industry-standard AI platforms.

・Development Tool Subsidy:

If a preferred development tool or software is paid, the company will cover the cost (up to 30,000 JPY/year).

・Comprehensive Insurance:

Fully equipped with Social Insurance (Health, Pension, Unemployment, and Workers' Compensation).

・Commutation Allowance:

Full coverage of all transportation expenses.

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