【Full remote】AI Engineer

＜Summary＞

Position: AI Engineer

Salary: ￥6M～￥15M

Location: Full remote

[Company Profile]

We are an AI startup originating from the Matsuo Lab at the University of Tokyo. With a mission to "create the new standard in uncharted territory," we have established a leading track record in Japan for the real-world implementation of Large Language Models (LLMs). Following a capital and business alliance with the KDDI Group, we are currently in a phase of rapid growth, deploying AI products—such as "ELYZA Works"—to a wide range of companies.

[Job description]

As a Machine Learning Engineer on the product team, you will be responsible for developing products centered around LLMs (proprietary/in-house models).

- Leverage ML technologies, including LLMs, to solve problems and create value for our products.

- Take ownership of establishing internal systems that integrate machine learning and engineering.

- Address technical debt to ensure sustainable development.

- Develop and operate scalable, highly available LLM inference infrastructure.

【Job Overview】

1. Product Development

- Handle the end-to-end process for ML-powered features, from requirements definition and value validation to development.

- Drive continuous improvement based on user feedback and quantitative metrics.

- Optimize in-house models and integrate them into products.

∟ Optimize models by balancing inference speed and accuracy.

∟ Research and apply model lightweighting techniques.

2. Leading ML & Engineering Integration

- Implement internal libraries to facilitate the integration of ML models into products.

- Establish workflows for efficient production deployment of models.

- Optimize and refactor product code.

- Provide technical support to other teams (consulting on architecture and implementation strategies).

3. MLOps Infrastructure Development & Improvement

- Design and implement scalable, flexible inference infrastructure.

- Build systems for continuous model monitoring and performance evaluation.

- Establish best practices for model operations in production environments.

▼Development Environment

We fully utilize cutting-edge AI development tools—such as Claude Code and Devin—while maintaining a strong focus on security.

- Languages: Python

- Cloud Platforms: Google Cloud / AWS / Azure

- Provisioning Tools: Terraform

- CI/CD: GitHub Actions / Argo CD

- Middleware: OpenSearch

- Documentation: Notion / Google Docs

- Development Tools: GitHub / Figma

- Communication Tools: Slack / Discord / Google Meet

- BI Tools: Redash

[All of the following are required]

- 2+ years of experience developing and operating ML services within a team

- Experience with development and operations in cloud environments such as GCP or AWS

- Expertise in one of the following fields: Machine Learning, Natural Language Processing, Image Recognition, or Speech Recognition

- Business-level Japanese communication skills / Native-level Japanese proficiency

*Please submit a portfolio, such as a GitHub account.

[Conditions]

Employment Type: Permanent

Estimated annual income: ￥6M～￥15M

◆ 120 annual holidays (FY2025)

◆ Full two-day weekend/holiday schedule (Saturdays, Sundays, and national holidays off)

◆ Year-end and New Year holidays

◆ Paid leave (granted upon joining; number of days depends on the month of hire)

◆ Pre- and post-natal leave

◆ Childcare leave

◆ Bereavement and special occasion leave