(Full remote)AI Engineer

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.

1. 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).

1. 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

United World Inc, 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.