AI Product Engineer (ClanExe | AI Partner Platform Development)

Location: Full remote work

Employment Type: Full-time

Salary: 6.5 to 8 million yen

[Product: ClanExe]

Persona Lab’s flagship product is "ClanExe," an AI partner platform.

▼ClanExe Service Introduction Page

https://clanexe.araya.org/

ClanExe is a platform that assigns personalities, roles, skills, and knowledge to AI, enabling users to form teams with them and delegate tasks. Based on the concept of "Forming a party with AI," it allows AI to function not merely as tools awaiting instructions, but as team members with distinct areas of expertise.

Its functionality centers on three key pillars:

Workflow Execution — Designing and executing work processes alongside AI members

Tacit Knowledge Extraction — Converting tacit knowledge buried in the field into explicit knowledge through dialogue

Feedback — Feeding the extracted knowledge back into the field and the organization

Currently, the entry point for enterprise adoption is the "AI Panel," one of ClanExe's core features. It provides a "digital twin" persona pool—built from data on actual consumers and professionals—at a scale of N=1,000. This enables the repeated testing of hypotheses that were previously unfeasible due to time and cost constraints associated with traditional research methods.

Our current business strategy involves establishing touchpoints with client companies through the AI Panel and subsequently expanding to the adoption of the full ClanExe platform. From an engineering perspective, this entails simultaneously cultivating "reliability as a research infrastructure" and "scalability as an agent platform."

[Background of Recruitment]

ClanExe is currently in its early growth phase, having launched only recently. However, Proof of Concept (PoC) projects and business negotiations are simultaneously underway with major corporations across diverse industries—including pharmaceuticals/healthcare, consumer goods, materials/components, and consulting. Consequently, development demands are already extending beyond the product's internal scope.

[Job Description]

As an AI Product Engineer, you will be responsible for the planning, development, and operation of ClanExe features, with a core focus on generative AI technology.

Depending on your experience, your role will center on the following three areas:

• Core Product Feature Development

You will design and implement ClanExe’s core features, including AI agent and persona design (prompt engineering, context engineering), multi-agent dialogue pipelines for extracting tacit knowledge, and RAG/search infrastructure.

• FDE-style Customer Deployment

For ongoing Proof of Concept (PoC) projects, you will translate client-site requirements into product features and provide customization and implementation support. Working closely with the business development team, you will rapidly incorporate requests gathered during sales discussions into the product.

• Designing Development Processes

As the product enters its initial growth phase, you will collaborate with the team to define operational monitoring and improvement mechanisms for the SaaS, evaluation frameworks (e.g., LLM-as-a-judge), and workflows that balance FDE-style deployment with core product development.

[Specific Responsibilities]

*Note: This list covers a broad range of potential tasks; you are not expected to handle every single one.

Web application prototyping and production-level development

AI agent and persona design using LLMs (prompt engineering, context engineering)

Design and implementation of multi-agent dialogue pipelines for tacit knowledge extraction

Construction and accuracy optimization of RAG and search infrastructure

FDE-style customization and implementation support for client deployments

SaaS system operation, monitoring, improvement, and inquiry handling

Tech PR activities (blog writing, lightning talks, etc.)

Scope of duties: Development and operation of company services and products, associated tasks, and other duties assigned by the company.

[Development Environment]

[Languages/Frameworks] Python, TypeScript, React

[AI/Machine Learning] Anthropic Claude, OpenAI/Azure OpenAI Service, Open-weight LLMs, RAG (Vector DB)

[Infrastructure/Cloud] AWS/GCP/Azure

[Development/Operations] GitHub, IaC, Monitoring tools

[Team Structure]

Persona Lab is a small team where researchers, engineers, and business development professionals discuss and collaborate at the same table. Representative Director & CEO Ryota Kanai — Neuroscientist; launched the company after working at the forefront of consciousness research.

Team Leader Taiyo Hamada — Neuroscientist; Principal Investigator (PI) for the Cabinet Office’s Moonshot Goal 9; leads NeuroAI research.

Engineering Team — Responsible for implementing personalities into LLMs and developing infrastructure for digital twin generation; the team to which this position belongs.

Sales & Marketing — Dedicated to lead generation and marketing initiatives.

Business Development — Drives enterprise sales negotiations and Proof of Concept (PoC) projects; serves as the direct point of contact for FDE-style deployments.

[Required Qualifications]

• 3+ years of practical experience in web application development
• Experience developing features utilizing LLM APIs (e.g., Claude, GPT)
• Experience with development and operations in cloud environments (AWS, GCP, or Azure)
• Ability to communicate fluently in Japanese, including technical discussions (target: business-level proficiency or higher)

[Preferred Qualifications]

• Experience developing multi-agent LLM systems or AI agent frameworks
• Experience developing applications utilizing RAG, search engines, or vector databases
• Full-stack development experience (primary focus on backend, with some experience in modern frontend frameworks like React)
• Practical experience in prompt engineering and evaluation (e.g., LLM-as-a-judge)
• Experience building and improving products through direct interaction with customers (e.g., FDE, collaboration with Customer Success)
• Experience in product development during the pre-PMF or early stages
• Knowledge of human cognition and interaction (e.g., cognitive science, psychology, HCI)
• Proactive attitude toward sharing knowledge (e.g., participating in tech communities, speaking at events, writing blog posts)

[Compensation & Benefits]

Employment Type: Full-time employee

Probationary Period: 3 months

Estimated Annual Salary: 6.5–8.0 million JPY (Over 8.0 million JPY possible for Tech Lead candidates)

Work Location: Tokyo (Fully remote work available)

Working Hours: Flextime system (Flexible hours: 5:00–22:00)

Days Off: Two days off per week (Saturdays and Sundays), national holidays

Leave: Summer leave, year-end/New Year holidays, and other leave

Overtime: Average of 20 hours per month

Benefits: Comprehensive social insurance, commuting allowance (subject to company policy), and other benefits