Research Engineer (R&D)

Job Description

1. 1The Ai Workforce Division promotes adoption of the generative AI platform “Ai Workforce” among leading enterprises in Japan, improving corporate productivity.
2. 2Develop LLM-powered workflow engines and AI agents to automate customers’ complex business processes.
3. 3Initiatives include building multimodal knowledge graphs, enabling LLM/agent processing of large and complex documents, developing automated evaluation and self-improving accuracy frameworks for AI agents, and designing agent systems for automating business processes.
4. 4Responsibilities include researching, validating, and productionizing applied technologies for integrating AI, LLMs, and AI agents into products.
5. 5Conduct R&D for products that leverage LLMs in practical, business-oriented ways, generating real business value from state-of-the-art technologies.
6. 6Elevate overall technical capabilities of LayerX by delivering impactful results and expanding the range of technologies available for product development.
7. 7Collaborate with other divisions including Bakuraku and Corporate teams to identify strategically important research areas and drive solutions.

What Makes This Position Attractive

1. 1Gain hands-on experience solving real-world business and technical challenges through practical application of AI and LLM technologies.
2. 2Apply AI, LLMs, and AI agents in production environments, tackling real production data and real business operations.

What We’re Looking For

1. 1Alignment with LayerX’s mission: “Enabling digitalization across all economic activities.”
2. 2Resonance with core values: Virtue (徳), Trustful Team, Bet AI, Fact Base, Be Animal.
3. 3Shared understanding of and alignment with the LayerX Compass (Rashinban).

Development Environment

1. 1Backend: Python (FastAPI), GraphQL
2. 2Web Frontend: TypeScript, React (Next.js)
3. 3Database: Azure Cosmos DB for PostgreSQL
4. 4Middleware: Azure OpenAI, Azure AI Search
5. 5Infrastructure: Azure
6. 6Provisioning Tools: Terraform, Azure Bicep
7. 7Backlog Management: Notion
8. 8Source Control: GitHub

DE&I Policy

1. 1LayerX strives to provide opportunities to people from all diverse backgrounds.
2. 2Recruitment process does not consider age, gender, nationality, race, disability, LGBTQ+ status, employment type, or marital status.
3. 3Actively seek team members who share the mission and resonate with the business.

応募資格（必須）

• Ability to understand Japanese business documents and communicate effectively in both technical and business contexts.
• Ability to read and understand English research papers in AI, LLMs, generative AI, AI agents, and related fields, and to reproduce implementations and conduct practical evaluations.
• Strong, readable coding skills in Python.
• Ability to appropriately leverage AI coding tools (e.g., Claude Code, OpenAI Codex, OpenCode, Cursor, Devin, GitHub Copilot) and conduct code reviews.
• Hands-on experience independently researching, developing, and utilizing generative AI technologies such as LLMs and AI agents, including (but not limited to):
• Development experience with RAG, AI agents, multi-agent systems, and agentic workflows
• Experience using MCP and A2A
• Experience with LLM APIs such as OpenAI API and Gemini API
• Development and utilization of multimodal AI (e.g., VLMs), not limited to LLMs
• Understanding and practical experience with reinforcement learning, search algorithms, and optimization algorithms
• Experience developing LLM-as-a-Judge systems, hallucination mitigation strategies, and LLM benchmarking frameworks
• Experience using LLM observability and management systems such as LangSmith and LangFuse
• Experience building machine learning models using deep learning frameworks such as PyTorch
• Experience across data domains for AI/ML, including data analysis, data science, data engineering, and feature engineering
• Experience building knowledge graphs and graph databases
• Experience collaborating with customers and internal stakeholders to productionize new technologies and create tangible value in products and business.
• Master’s or Ph.D. degree in Computer Science, Informatics, Machine Learning, or a related field, or equivalent practical experience in corporate R&D.

歓迎する経験

• Business-level communication skills in both Japanese and English.
• Experience in software and system development, including:
• Web application development and operations
• Infrastructure development and operations, including cloud environments
• Data platforms and machine learning infrastructure development and operations
• Development of general-purpose libraries
• Experience with patent applications and inventions.

求めるスキル・経験