AI Engineer - DealOn

What Mission and Challenges You’ll Take On

1. 1Own the design, development, and operation of AI-native features centered on RAG, LLMs, and AI agents, going beyond model implementation to deeply integrate with UI/UX and business workflows to deliver truly usable AI experiences
2. 2Lead end-to-end decision-making across model selection, inference architecture, RAG design, and agent design based on specific use cases, balancing both quality and speed
3. 3Design and implement robust operational frameworks—including evaluation, monitoring, logging, and cost optimization—to continuously improve and maintain a reliable and trustworthy AI experience

What You’ll Do

1. 1Design and implement highly reliable agent-based LLM workflows for production environments
2. 2Build execution infrastructure for AI agents by integrating with external services and internal APIs
3. 3Evaluate and select appropriate external models, frameworks, and services based on use case fit
4. 4Translate user needs into concrete requirements through stakeholder discussions, and collaborate cross-functionally to design optimal agent-based solutions
5. 5Establish testing frameworks and monitoring systems to evaluate agent performance, and visualize key metrics
6. 6Define development processes and quality standards through code reviews and comprehensive documentation
7. 7Identify and address technical challenges to ensure the accuracy, reliability, performance, and scalability of AI systems, driving continuous improvement

応募資格（必須）

• 5+ years of development experience in at least one of the following: Python, TypeScript, or Go
• Hands-on experience building applications using LLM APIs (e.g., OpenAI, Anthropic, Google Gemini, Mistral)
• Practical experience developing AI agents (e.g., LangChain, CrewAI, OpenAI Agents SDK, Google ADK, MCP) and working with context engineering
• Experience designing and implementing RAG systems, including embeddings, vector databases, and retrieval algorithms
• Experience improving generation quality through prompt optimization and the design of evaluation metrics
• Solid foundation in natural language processing (NLP) and experience building data pipelines
• Japanese proficiency equivalent to JLPT N1

歓迎する経験

• Experience building and operating search infrastructure using Elasticsearch, OpenSearch, Vespa, or similar technologies
• Experience designing systems that integrate knowledge graphs or structured data with RAG
• Experience designing and operating systems in cloud environments such as AWS, Google Cloud, or Azure
• Experience preprocessing and normalizing unstructured text data, such as customer emails, FAQs, and product documentation

求めるスキル・経験