Portal Site, App Development | MLOps Engineer | Listed Company / Fully Remote Work

★MLOps Engineer | Portal Site, App Development

• Business Level Japanese Required

◆ Fully Remote Work

◆ Listed Company

◆ In-house Products/Services

◆ Great Welfare

◆ Annual salary: 8 million yen - 12 million yen

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

The company's philosophy is to create a society where people all over the world can freely utilize "wisdom to live better = intellectual information" and to create a society where people can live happily.

It provides a wide range of services, including different portal sites and the Web-based cloud contract service.

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

【Recruitment Background】

The company is driving digital transformation (DX) in the legal industry by developing AI products that leverage one of Japan’s largest legal datasets. In 2022, they established a dedicated R&D lab to research and implement the social integration of products combining legal expertise with Generative AI.

As a result of these efforts, in August 2024, the company announced the release of a technological foundation that graphs vast amounts of legal data—including laws, precedents, guidelines, and literature—and integrates it with Generative AI to master comprehensive legal professional knowledge. Furthermore, with the release of a new product in May 2025, they continue to lead the legal tech industry.

To further accelerate AI product development and enhance quality, the company is strengthening its MLOps framework to streamline and automate the entire machine learning model lifecycle. They are looking for a proactive and highly skilled MLOps Engineer to build an environment where processes from experimentation to development and operations run smoothly, allowing ML engineers to focus on more creative tasks.

【Responsibilities】

As the first MLOps engineer on the team, you will lead the development of the overall systems supporting the training and operation of ML and LLMs. You will also take a lead role in developing agent systems that fully utilize ML/LLM technologies, which are at the core of the company’s products.

・Design, build, and automate the lifecycle processes for machine learning model experimentation, development, and operations.

・Develop and manage infrastructure for handling training data, models, and experimental results.

・Design, build, and maintain CI/CD pipelines tailored for ML workflows.

・Define and execute deployment strategies to ensure safe and rapid model deployment.

・Design and implement signals for model evaluation and training optimization.

・Establish and operate monitoring systems to track model performance and propose improvements.

・Collaborate with ML engineers to enhance development efficiency and product quality.

・Research and introduce cutting-edge MLOps technologies and share knowledge within the team.

【Development Environment】

Languages & Frameworks

Backend: Python / FastAPI

Machine Learning: Python / scikit-learn, etc.

LLM: LangChain, LangGraph, Langfuse

Technical Infrastructure

Infrastructure: AWS (ECS, Lambda, S3, Redis, SES, SNS, SQS, ELB, etc.)

Database: Aurora, Neptune

AI/Search: Vertex AI (Gemini), Bedrock, SageMaker, OpenSearch

Project Management & Source Code Management

Project Management: JIRA

Source Code Management: GitLab, GitHub

CI/CD: GitLab CI, GitHub Actions

Information Sharing & Development Support

Information Sharing: Slack, Google Workspace, esa.io

Development Support: GitHub Copilot, NotebookLM, Cursor, Devin, etc.

【Position Highlights】

・Impactful AI Development: Engage in the development of AI products with high social significance, leveraging one of the largest legal datasets in Japan.

・Cutting-Edge AI Agents: Be at the forefront of technology by developing AI agents specialized in professional domains—one of the most prominent trends in the industry today.

・Advanced R&D Environment: Work with state-of-the-art technologies through diverse initiatives, including industry-academic collaborations.

・Rich Resources & Network: Leverage a robust client base and high-quality data through direct access to internal and external legal professionals, including lawyers and corporate legal departments.

【About the Product】

The product is a core technology that combines generative AI with a database uniquely constructed by the company.

The core of this technology is a proprietary database that centralizes a vast and diverse range of legal data—including laws, guidelines, judicial precedents accumulated by the company group, legal literature, legal consultation records, and expert insights from lawyers. These various data points are organized into a graph structure to map their complex relationships. By integrating generative AI with this foundation, the company is able to provide legal services with unprecedented convenience and accuracy.

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

【Required】

Development experience using Python and similar languages

Experience operating systems utilizing machine learning models and large language models (LLMs)

Development and operational experience on cloud platforms (AWS, GCP, Azure, etc.)

Experience using container technologies (Docker, etc.)

Basic knowledge of machine learning (understanding of the model development lifecycle)

【Preferred】

Experience in designing, building, and operating infrastructure for large-scale systems including machine learning models and LLMs

Experience building infrastructure for training machine learning models and fine-tuning LLMs

Experience building evaluation platforms using LLMOps/MLOps tools such as Langfuse and Weights & Biases

Experience using IaC (Infrastructure as Code) tools (Terraform, Ansible, etc.)

【Ideal Applicants】

Passionate about driving new innovation in the world

Enthusiasts of cutting-edge technology. Highly interested in the latest LLM topics and their applications

Top-tier technical expertise combined with a keen interest in business and strategic thinking

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【Welfare】

■Housing Allowance: An allowance of up to ¥30,000 is provided to employees whose home is located less than 2km (straight-line distance) from the company office.

■Employee Stock Ownership Plan

■Defined Contribution (DC) Pension Plan

■Club Activity Subsidy System: Various clubs are organized internally to deepen interaction among employees. The company provides a partial subsidy for activity expenses when employees belong to a circle and actively participate.

■Regular Social Gatherings: To foster employee interaction, the company hosts gatherings such as a Beer Bash (held internally on a Friday once a month) and General Employee Meetings (held at an external venue with all employees present).

■Shuffle Lunch: To deepen employee interaction, once a month, the company subsidizes lunch for groups of 4-5 randomly selected employees. The company provides a subsidy of ¥1,500 per person for the lunch expense.

■Resort Support System: A system allowing employees to stay at a private, membership-based resort hotel, with access to diverse facilities such as hot springs, sports, and restaurants.

■Internal Commendation System: A system used during General Employee Meetings to recognize employees who embody excellence and serve as role models (e.g., MVP awards).

■Real Estate Brokerage Fee Discount: Employees relocating receive a discount on brokerage fees if they use the real estate agency with which the company has a corporate contract.

■Babysitter Expense Subsidy: Expenses are subsidized for employees who need to use a babysitter to attend internal events, starting with the regular social gatherings.

■Book Purchase System: The company covers the cost of purchasing books, provided certain conditions are met.

■Side Jobs (Fukugyo) Allowed: Side jobs are permitted upon approval.

■PC Provision: The standard PC provided is a MacBook Air. (MacBook Pro is provided to creative roles such as engineers and designers.)

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