★ Lead Software Engineer - Backend AI Agents | Fast-Growing SaaS Company
- Business Level Japanese Required (N2 Level)
◆ Flextime & Fully Remote Work
◆ Start-up Company
◆ In-house Services
◆ Global Environment
◆ Annual Salary: 8 million ~ 15 million yen.
【About the company】
The company provides a SaaS that enables a new sales method known as "Intent Sales," which is already a mainstream approach overseas.
Intent sales analyzes search behavior on the internet to identify and reach out to companies that have a clear need for your service or a strong intent to purchase. While this sales and marketing method has been widely adopted in the United States since around 2017–2018, the use of intent data for sales is still in its early stages in Japan.
Many companies are struggling with their sales activities. They often spend a great deal of time creating lists of potential clients but fail to close deals because the timing is off. They also struggle to fully grasp customer needs in advance, which prevents them from making effective proposals.
The company's product is gaining significant attention for breaking down these inefficient sales practices that have been common in Japanese society for years. It allows companies to make proposals that hit the right timing and customer needs.
Since its founding in July 2021, the company has achieved an ARR (Annual Recurring Revenue) of ¥1.54 billion, making it one of the fastest-growing startups, not just in Japan but on a global scale. In just two years since its service launch, it has been adopted by over 400 companies, including many of Japan's leading enterprises.
【 Job Description】
【About the Team】
The company's co-founders are from top Japanese and global companies like NRI, Keyence, LINE, Microsoft, and PwC. In 2023, they were selected for the "FORBES 30 UNDER 30 ASIA LIST."
The engineering and product team is composed of talented individuals from world-class tech companies like Google, Microsoft, and Indeed, as well as prominent Japanese tech companies like Mercari, LINE, Yahoo, and SmartNews. The team is a diverse group of people from more than 16 different countries.
【Responsibilities】
You will work directly under the CTO, standing on the front lines to lead the company's AI agent development. This position goes beyond a simple engineering role, involving you deeply in strategic decision-making and product direction. You will take on the leadership role of building the next generation of AI agents and driving innovation in collaboration with both internal and external stakeholders. You will also lead a large team that develops and operates next-generation enterprise solutions using the latest AI technologies.
・Technical leadership for the AI agent development project.
・Designing and selecting system architecture.
・Providing technical support and code reviews for team members (senior and junior).
・Coordinating technical aspects with external stakeholders (product, UX, research, etc.).
・Evaluating the latest LLM and agent technologies and formulating implementation strategies.
【Tech Stack】
[Frontend]
Languages: TypeScript, React
Libraries: Storybook, jest
Hosting: Amplify
[Backend]
Infrastructure: AWS, Elastic Beanstalk
DB: Aurora, Elasticsearch
Languages: , Python
Framework: Express
Monitoring: DataDog
Other: AWS Lambda, AWS Batch, AWS API Gateway, AWS Glue
[Data Analysis]
OpenAI
Amazon Bedrock
OpenSearch
SageMaker
Athena
Glue
【 Requirements】
【Required】
Have meaningful experience with building (and rebuilding) production systems to deliver new product capabilities and to handle increasing scale
Care deeply about the end user experience and take pride in building products to delight customers
Experience leading development teams or managing projects with multiple members.
Large Language Model Integration: Experience working with LLM APIs (e.g., OpenAI, Anthropic) and integrating them into agent workflows for natural-language understanding and generation
Agent Solution Design: Ability to design and build deployable AI agent solutions and best-practice templates for internal and external stakeholders
Cloud Platform Expertise: Hands-on experience with AWS, GCP, or Azure to deploy, scale, and secure AI services in production
Database Design & Optimization: Expertise in designing scalable database schemas, indexing strategies, and query optimization for high-performance applications
Understanding and practical experience with Model Context Protocol (MCP).
Business-level English proficiency.
【Preferred】
Agent Orchestration Frameworks: Familiarity with platforms like LangChain, Rasa, or Restack to build, evaluate, and iterate on AI agent workflows
Benchmarking & Evaluation: Experience with tools and methodologies to measure agent accuracy, reliability, and on-brand performance
Experience promoting projects in startups or R&D departments.
Experience with technical presentations and public speaking, both internally and externally.
【Working Hours】
Flextime System
【Holidays】
・Saturday/Sunday/National Holiday
・Annual Paid Leave
・New Year Holiday
・Parental Leave
【Welfare】
■Medical Checkup
■Travel Allowance: Fully covered
■Others
・High-performance MacBook provided
・Book purchase allowance via Wantedly Perk
・Perk|Employee benefits package service
・Uber Eats coupons provided
・Resort Works|Services for business trips and personal travel
・Wedding and childbirth gifts
※Eligible: Executives and full-time employees only
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