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This role is focused on building AI-powered tools that support sales enablement. As a Software Engineer, you will work on designing and developing product features that leverage AI technologies to improve how sales teams operate and create value for users. This is a high-impact position for engineers who are excited to work at the intersection of product development and applied AI.
Job Responsibility:
Design, build, and operate AI-powered systems leveraging large language models (LLMs), including prompt engineering, output parsing, and evaluation pipelines
Architect event-driven workflows (Lambda, webhooks, queues) that enable AI-powered features to operate reliably at scale
Collaborate closely with product, sales, and CS teams to translate business needs into effective AI-driven product features
Own the full lifecycle of AI-powered products — from prototyping and prompt tuning to production deployment and monitoring
Evaluate and integrate emerging AI capabilities (models, APIs, tooling) to continuously improve product and model performance
Contribute to engineering best practices through code reviews, documentation, and knowledge sharing
Requirements:
4+ years of software engineering experience in product development
Hands-on experience building applications that integrate LLMs (e.g., Claude, GPT) — including prompt design, tuning, and output evaluation
End-to-end engineering experience from design and development through to production operation
Solid backend engineering skills
Experience with event-driven or serverless architectures (Lambda, webhooks, message queues)
Strong communication skills
Business-level proficiency in both Japanese and English (JLPT N2 or higher certification is required)
Experience designing, building, and operating architectures on AWS
Familiarity with RAG (Retrieval-Augmented Generation) patterns, vector databases, or embedding-based search
Experience building multi-step AI workflows (e.g., tool use, chain-of-thought, planning)
Knowledge of SOLID principles, Clean Architecture, or Domain-Driven Design (DDD)
Test-Driven Development (TDD) experience
Nice to have:
Experience designing, building, and operating architectures on AWS
Familiarity with RAG (Retrieval-Augmented Generation) patterns, vector databases, or embedding-based search
Experience building multi-step AI workflows (e.g., tool use, chain-of-thought, planning)
Knowledge of SOLID principles, Clean Architecture, or Domain-Driven Design (DDD)