Job Description

About Us

At our company, our mission is to create a world where all people and companies can challenge themselves beyond existing boundaries. We’re one of the fastest growing start-ups in Japan and we’re growing at a speed that is twice as fast as Unicorn startups. By using our product, sales teams can improve their work efficiency by 3 times. We have achieved over 900% YoY business growth rate in 2.5 years since our flagship product was released and we’re currently actively working on a wide range of new product portfolios.

The Team

Our co-founders are from top companies in Japan and the world such as NRI, Keyence, LINE, Microsoft, and PwC. They were selected as “FORBES 30 UNDER 30 ASIA LIST” in 2023. In our Engineering & Product team, we have members from more than 16 countries and they come from top tech companies in the world such as Google, Microsoft, Indeed, and famous tech companies in Japan such as Mercari, LINE, Yahoo, Smartnews, etc.

Responsibilities

Leveraging your expertise in AI agent technology, you will participate in cutting-edge development. In this role reporting directly to the CTO, you will utilize your deep technical knowledge to engage in the design and implementation of AI systems while pursuing product quality and technical superiority. Furthermore, you will deepen collaboration with team members and play an active role as a technical guide.

You will be required to develop scalable AI agents for enterprise use, utilizing the latest technologies such as MCP, LLMs, and Generative AI.

• Design and implement agent functionalities leveraging LLMs.
• Develop task automation and complex prompt designs (e.g., Chain of Thought, Tool Use).
• Improve dialogue flows and decision-making logic with a focus on user experience.
• Design and measure AI evaluation metrics (e.g., hallucination rate, success rate).
• Develop scalable APIs and modules.

Requirements

• Development experience in Python or a similar language (3+ years).
• Experience utilizing LLM APIs (e.g., OpenAI, Claude, Gemini, Mistral).
• Experience designing web backends using REST API or GraphQL.
• Experience in developing AI applications using AWS or GCP, and in designing, building, and operating the infrastructure on AWS or GCP.
• Knowledge of Computer Science fundamentals, including data structures and algorithms.
• Development experience on an in-house product (3+ years).
• Understanding and practical experience with Model Context Protocol (MCP).

Nice to Have

• Experience using agent-related libraries such as LangChain or Semantic Kernel.
• Experience developing prototypes with consideration for UI/UX integration.
• Experience building GPTs or custom chatbots.
• Business-level English proficiency.

Our Tech Stack

Front-end

• TypeScript, React
• Libraries: Storybook, jest
• Hosting: Amplify

Server Side/Back-End

• Infrastructure: AWS, ElasticBeanstalk
• DB: Aurora, ElasticSearch
• Languages: Go, Typescript
• Analysis environment: Athena
• Framework: Express
• Monitoring: DataDog
• Others: AWS Lambda, AWS Batch, AWS API Gateway, AWS Glue

Why Us?

• One of the fastest growing SaaS startups in Japan with strong financial growth.
• Innovative new product development and opportunity to build things from scratch.
• Plenty of leadership and career development opportunities.
• Full remote-friendly & full flexible work schedules.
• Global team and English speaking environment.
• Great benefits & perks packages.

Working Style

• Remote Work: We’re remote friendly. We use Zoom and Meet, and recently introduced the virtual office platform Gather to maintain both the quality and quantity of communication while working remotely.
• Flexible Work: You are free to customize your daily working hours considering the situation within the company and your team. Each employee adjusts their working hours to meet the monthly requirement of 8 hours per working day.
• Work-Life Balance: We value a healthy work-life balance. Whether you want to focus heavily on work or prioritize your personal time, we believe this is an environment where both approaches can thrive.