Job DescriptionTranslated from Japanese
▼Job Description
Move AI from "experiment" to "production" for society. Cutting-edge projects such as AI personas and video analysis AI for major domestic and international companies are underway. Through precise reviews by seniors, you will reach the level of "being able to independently build AI applications" using the latest LLMs within 2 weeks to 1 month. Why not grow autonomously and gain solid market value?
You will be responsible for developing applications that solve complex challenges faced by major companies using AI agents, RAG, and multimodal AI.
■ Specific Project Examples
You will be involved in "Data x AI" projects unique to Minedia, which have also been announced in the latest press releases.
"AI Application Development at AI Data Lab."
- AI Persona/Interview: Development of a system that extracts deep psychological insights as structured data by having AI automatically conduct interviews with pseudo consumer personas generated by AI from purchasing data.
- AI Video/Image Analysis: Implementation of a pipeline to assetize and structure video data by automatically analyzing actions and attributes within videos using the latest multimodal AI.
"Decision Support Based on Real Data"
- Sales Forecasting AI: Construction of a system for advanced sales forecasting using AI by combining large-scale data such as location, human traffic, and TV metadata.
- Automated Sales Promotion Creative Generation: Development of a workflow to automatically generate video, image, and text advertising content from product information.
"Advanced Search Platform (RAG) for Major Enterprises"
- Design and operation of search and inference algorithms to derive accurate and fast answers from the unique unstructured data of major companies.
■ Environment to Support Growth: Professional Feedback
Design/Code Review: Seniors from a listed AI startup provide constructive feedback on implementations. Through reviews, you can quickly learn AI implementation best practices and establish your own "development style" early on.
Culture of Technical Sharing: A quick resolution of technical challenges is possible by leveraging the team's knowledge through the daily "AI Morning Meeting" and consultations on Slack.
Early Ownership: After joining, you will first participate in actual projects and be supported to complete a single feature independently within 2 weeks to 1 month.
▼Required Skills/Experience
- Practical experience in web application development (1+ year / language agnostic)
- Practical experience in development, maintenance, or operation using RDB (MySQL/PostgreSQL, etc.)
- Practical experience in team development using Git/GitHub
- Native-level Japanese proficiency
▼Welcome Skills/Experience
- Practical experience using Python, TypeScript, or Ruby on Rails
- Attitude of quickly adopting the latest technology trends in practical work and personal projects
- Experience implementing applications using LLMs
- Experience building RAG (Retrieval-Augmented Generation) or operating vector databases
- Experience utilizing image/video generation AI or multimodal AI
- Experience building cloud infrastructure using AWS/GCP (e.g., Terraform)
▼Ideal Candidate Profile
- Those who want to acquire skills to become independent in the AI field by their 20s or 30s
- Those interested in new technologies and services who enjoy actively exploring them
- Those who can use high-quality reviews as a catalyst for growth and expand their learning
- Those interested in transforming the business processes of major domestic and international companies with the latest technology
▼Job Highlights
【Increased Market Value】 Skills to independently build and operate agents, RAG, and multimodal AI will be the most sought-after assets in the future market.
【Access to Large-Scale Data】 A development environment where you can reference major companies' "live data" such as purchasing data, TV metadata, and human traffic data with AI.
【Fast Track Career】 Acquire cutting-edge AI development know-how in the shortest possible time through feedback from top professionals. Update your career at the fastest pace.
▼Development Environment
Languages / Frameworks
- Python
- TypeScript
- Streamlit
Platforms
- AWS
- Google Cloud
- Snowflake
▼Employment Type
Full-time employee (No fixed term)
▼Probationary Period
Probationary period: 3 months after joining
▼Salary
Annual salary: ¥6,000,000 - ¥11,000,000
▼Minimum Annual Salary (in 10,000 JPY)
600
▼Maximum Annual Salary (in 10,000 JPY)
1100
▼Work Location
Work location: Head Office (Minato-ku, Tokyo)
- Currently, remote work is the general rule (with one office visit 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 as per employment regulations)
▼Benefits
- Social insurance complete
- Remote work subsidy (subsidy for purchasing necessary equipment for remote work)
- Book purchase subsidy
▼Insurance Enrollment
Social insurance complete (Health insurance, Employees' Pension Insurance, Workers' Accident Compensation Insurance, Employment Insurance)
▼Measures to Prevent Passive Smoking at the Workplace
No smoking indoors
▼Education/Skill Up/Career Advancement
We provide an environment for engineers to continuously catch up with the latest technologies and grow into self-sufficient professionals.
■ AI Morning Meeting (Daily Input)
Every morning, the entire team shares the latest AI technology topics, overseas news, and knowledge. This allows us to maintain the resolution to judge "what is best now" even amidst rapid changes.
■ AI Hackathon (Practical Output)
We hold intensive development events themed around "Generative AI" every two weeks. You can foster the speed to prototype your own ideas immediately and reflect them in products, beyond the scope of your daily work.
■ Professional Review System
Senior engineers from a listed AI startup provide high-level reviews from design to implementation. Through high-quality feedback, you can learn AI application development best practices in the shortest time and aim to complete tasks independently within 2 weeks to 1 month after joining.
■ Strong Support for Technical Training
Technical Book Purchase Subsidy: Books necessary for work will be purchased by the company at full cost.
Technical Conference Participation Support: We subsidize participation fees for domestic and international conferences, supporting connections with external communities and absorption of the latest trends.
Encouragement of Technical Content Creation: The company supports the creation of content on technical blogs such as Zenn. We have a culture of verbalizing your own knowledge and increasing your personal recognition as an engineer.
■ Career Path
Achievements in completing major company projects in "the most in-demand areas" such as AI agents, RAG, and multimodal AI will dramatically increase your market value. You can establish a career as an "AI Engineer" who thinks deeply about how to apply AI to business, rather than just being an implementer.
▼Interview/Selection Process
Casual meeting -> 1st interview -> 2nd interview -> Final interview (Executive interview)
▼Other
Minedia Inc. Tech Blog
https://zenn.dev/p/minedia
Establishment of "AI Data Lab." for advanced initiatives in Generative AI x Data domain
https://corporate.minedia.com/news/ai-data-lab-1-695