[Challenging Trillion-Yen Market] Develop Next-Gen Consumer Research SaaS to Visualize "Hidden True Feelings" with Generative AITranslated from Japanese

▼Job Description You will be involved in the "production implementation" of Generative AI, not just "experiments." We are seeking a Rails engineer to lead the development of our consumer research platform "MINEDS for INSIGHT DATA," which visualizes consumers' "hidden true feelings" with AI using our patented technology. This role is for the development phase of our new AI business expansion in 2026, with LLMs at the core of the product. At Minedia, our mission is to "create a better world with data on people's thoughts and actions and AI." We are a startup challenging the tens of trillions of yen marketing DX market. ■ Responsibilities - Core feature development for "MINEDS for INSIGHT DATA" using Ruby on Rails - Collaborate with Tech Leads to drive requirements definition, design, and implementation (also in coordination with PO and PdM) - Production implementation of AI features utilizing Generative AI (OpenAI, Anthropic, etc.) (e.g., transcription of interview videos, AI summary generation, automatic report creation) - Keep up-to-date with the latest LLM trends and rapidly apply and validate them to the product - Prototyping new AI services looking towards 2026, and conducting LLM utilization PoCs with enterprise clients - AWS infrastructure optimization (handling monthly video data accumulation of 130GB, improving Fargate environment operations, promoting serverless architecture) - Improvements in frontend areas such as React/Next.js ▼Required Skills/Experience - Practical experience in web service development using Ruby on Rails (目安: 3+ years) - Practical experience in the design, development, and operation of entire web applications (目安: 5+ years) - Experience collaborating with business stakeholders ▼Preferred Skills/Experience - Experience processing millions of records of data online - Experience in infrastructure construction and operation using AWS - Experience in infrastructure development and operation using Terraform - Experience in development and operation using container virtualization technologies such as Docker - Experience in UI construction and operation using Next.js, React.js - Experience in development and operation using static testing such as unit tests and E2E tests - Development of systems that provide services via REST API, or development of features that utilize REST API - Experience releasing and operating services developed individually - Tech Lead or CTO experience at a startup ▼Ideal Candidate Profile In addition to technical skills, we are looking for colleagues who resonate with our mission and values (especially "Be a Hacker" and "Impact Driven") and can enjoy product development with the same passion. - Individuals with strong technical curiosity who constantly think about "how to do it." - Those who resonate with the spirit of "Be a Hacker," which values making the impossible possible through ingenious, unexpected solutions. - Individuals who can make decisions based on the impact (results) their actions bring to society, embodying an "Impact Driven" mindset. - Those who are not afraid to learn and try new technologies and methods. - Highly agile and self-motivated individuals. ▼Job Highlights 1. Involved in "Production Implementation" of Generative AI, not just "PoC" Your role will not be "experiments" or "R&D." We are currently integrating Generative AI (LLM) as the core of our product. You can lead the production development of AI features that directly contribute to the competitive advantage of our SaaS "MINEDS," such as transcription of interview videos, AI summarization, and automatic report creation. Furthermore, in 2026, we will fully engage in the "zero to one" development of new services that leverage Generative AI, as well as PoCs utilizing LLM with enterprise clients. 2. Development Culture that Pursues "Agility" and "How to Do It" Our belief is that "the weapons of a small organization are speed and excellent talent." At Minedia, we value providing the autonomy to freely explore technical approaches for "how to do it," as long as the scope (objective) is clear. You can experience the thrill of solving difficult problems with technology while engaging in daily discussions with the CTO (formerly from GREE and Metaps) and Tech Leads, and entering a "flow state" as a team. Our tech blog on Zenn is also a manifestation of this culture. 3. Challenge in the Complex Domain of "Human Thought" Our challenge goes beyond mere operational efficiency. "Qualitative research" delves into the "truth of consumer thought," which is difficult to verbalize. Using AI and data to digitize this analog and complex domain and leverage it for corporate marketing activities is a technically highly challenging endeavor, while also being an endeavor with significant impact in terms of both social contribution and profitability. 4. Comfortable Work Environment and Full-Stack Growth Opportunities - Flexible Work Style: Full remote work is possible (excluding one company-wide in-office day per month). - High-Spec Development Environment: We provide the latest preferred PC and remote work equipment (monitors, office chairs, etc.) to support a stress-free environment. - Broad Technical Scope: You can not only master Ruby on Rails but also engage in frontend (React/Next.js) and infrastructure (AWS serverless) development according to your interests, building a full-stack career. ▼Development Environment Languages / Frameworks - Ruby + Ruby on Rails - React.js, Next.js - Sidekiq - Various static analysis tools (rspec, rubocop, etc.) Platform - AWS (Infrastructure built with Terraform) - Vonage (WebRTC) - Integration with various LLMs (Unlimited access to OpenAI, Anthropic, GitHub Copilot, etc. through company contract) - Web API integration with other services Monitoring/Tools - Sentry ▼Employment Type Full-time employee (No fixed term) ▼Probationary Period 3 months after joining the company ▼Salary Annual salary: ¥6,000,000 - ¥12,000,000 ▼Annual Salary Lower Limit (10,000 JPY) 700 ▼Annual Salary Upper Limit (10,000 JPY) 1300 ▼Work Location Location: Head Office (Minato-ku, Tokyo) - Currently, remote work is the general rule (with one in-office day per month), but you will be required to come to the office if instructed. ▼Working Hours 10:00 - 19:00 ▼Break Time 1 hour ▼Overtime Work Yes (Average 0-20 hours per month) ▼Holidays, Paid Leave, Special Leave Holidays: Saturdays, Sundays, National Holidays, Year-end and New Year holidays Leave: Paid leave, Congratulatory and Condolence leave, Summer leave (other provisions in the employment regulations) ▼Benefits - Social insurance complete - Remote work subsidy (subsidies for purchasing necessary equipment for remote work, etc.) - Book purchase subsidy - Preferred PC provided ▼Allowances Commuting allowance (up to ¥30,000/month), Book purchase allowance (up to ¥5,000/month) ▼Insurance Enrollment Social insurance complete (Health insurance, Employees' pension insurance, Workers' accident compensation insurance, Employment insurance) ▼Measures to Prevent Passive Smoking at the Workplace Completely non-smoking indoors ▼Education/Skill Improvement/Career Advancement We fully support continuous learning and growth for our engineers. - AI Hackathon: We hold events every two weeks where engineers intensively brainstorm service ideas and develop products related to Generative AI. You can improve your skills through learning the latest AI technologies and experiencing actual product development. - AI Morning Session: Every morning, all employees share AI-related technical topics and knowledge. This fosters a culture of learning together as a team, allowing you to catch up on the latest AI trends and implementation examples. - Technical Book Purchase Subsidy: The company covers the full cost of purchasing technical books related to your work. We also regularly subscribe to technical books and share them among members. - Technical Conference Participation Support: The company covers the participation fees for domestic and international technical conferences. This allows you to catch up on the latest technology trends and build connections with the engineering community. - UML Learning Support: We support learning UML (Unified Modeling Language), which is used in design documents as much as possible, to acquire a globally common diagramming method. This helps enhance your fundamental engineering skills. - Internal Study Sessions: Members organize study sessions on technical topics they are interested in. This not only facilitates knowledge sharing but also develops teaching skills. - Technical Writing on Zenn: We operate a company tech blog on Zenn, fostering a culture of outputting what you learn. Through technical writing, you can deepen your understanding and increase your recognition as an engineer. ▼Interview/Selection Process Casual meeting -> 1st Interview -> 2nd Interview -> Final Interview (Executive Interview) ▼Other Minedia Inc. Tech Blog https://zenn.dev/p/minedia Advanced Initiatives in Generative AI x Data Domain: Establishment of "AI Data Lab." https://corporate.minedia.com/news/ai-data-lab-1-695