As a strategic role reporting directly to the CTO, you will be at the forefront of driving our AI Agent development. This position goes beyond a typical engineering role, involving significant engagement in strategic decision-making and the direction of our products. You will take a leadership role in building the next generation of AI Agents, driving innovation through collaboration with internal and external stakeholders. You will also lead large teams, leveraging the latest AI technologies to develop and operate next-generation enterprise solutions.
Our Tech Stack
- Front-end
- TypeScript, React, NextJS;
- Testing: Storybook, jest, playwright;
- Hosting: Amplify;
- Feature flag: Unleash;
- Server Side/Back-End
- Infrastructure: AWS, EKS, ElasticBeanstalk;
- DB: Aurora, ElasticSearch, Redis;
- Languages: Go, Typescript;
- Analysis environment: Athena, Superset;
- Monitoring: DataDog;
- Others: AWS Lambda, AWS Batch, AWS API Gateway, AWS Glue, AWS S3;
Responsibilities
- Provide technical leadership for AI Agent development projects.
- Design and select system architectures.
- Provide technical support and conduct code reviews for team members (senior and junior).
- Coordinate technically with external stakeholders (Product, UX, Research, etc.).
- Evaluate cutting-edge LLM and agent technologies and formulate adoption strategies.
Requirements
- 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.
Nice to haves
While not specifically required, tell us if you have any of the following.
- 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.
Compensation
¥7,000,000 ~ ¥14,000,000 annually.
