AI Agent Engineer | Cutting-Edge LLM & Generative AI Development

Sales Marker

Full-time: $55,000 - $88,500

Tokyo, Japan

Partial Remote

Work Conditions

• Employment Type: Full-Time
• Location: Fully Remote (Japan-based, but global team with English-speaking environment)
• Compensation: Competitive (based on role type and experience)

1. AI Agent Engineer

Responsibilities & Goals

• Leverage expertise in AI agent technology to participate in cutting-edge development.
• Utilize deep technical knowledge for the design and implementation of AI systems, prioritizing product quality and technical superiority.
• Deepen collaboration with team members and act as a technical guide.
• 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

Must-Have

• 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).
• Professional experience at top-tier technology companies (e.g., GAFA) or well-known startups in a software engineering or AI-related role.
• Proven track record of building and scaling AI systems in a high-performance environment.

Nice-to-Have

• Experience using agent-related libraries such as LangChain or Semantic Kernel.
• Experience developing prototypes with limited supervision and taking full ownership.
• Graduate degree (Master’s/PhD) in Computer Science or related field.