AI Engineer (Machine Learning)

Responsibilities

• Design, develop, and implement AI and data solutions for both client projects and internal products.
• Build and maintain scalable web applications, APIs, and backend services using modern software development practices.
• Develop machine learning and generative AI applications utilizing technologies such as OpenAI, LangChain, PyTorch, and related frameworks.
• Collaborate with product managers, designers, and engineers to translate business requirements into technical solutions.
• Participate in solution design, architecture discussions, and technical decision-making.
• Work directly with users and stakeholders to understand requirements and incorporate feedback into product development.
• Contribute to the continuous improvement of development processes, system performance, and product quality.
• Research and evaluate emerging AI, machine learning, and data technologies to drive innovation across the organization.

Technology Stack

• Frontend: TypeScript, Vue.js
• Backend: Python, Go, FastAPI
• Cloud & Infrastructure: AWS, GCP, Terraform, Ansible
• AI / Machine Learning: PyTorch, scikit-learn, OpenAI API, LangChain, GiNZA
• Databases: PostgreSQL, Elasticsearch
• Tools: GitHub, Slack, Notion, Google Workspace, Figma

Requirements

• 3+ years of web application development experience.
• Frontend development experience using modern frameworks such as React, Vue.js, or Angular.
• Backend development experience using Python, Go, Node.js, or similar technologies.
• Experience developing APIs and web-based systems.
• Business-level Japanese communication skills, including the ability to communicate with customers.
• Comfortable working in an English-speaking technical environment.