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AI Engineer

6M JPY - ***M JPY

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Tokyo

Full-time (permanent)

Online Interview: Yes

Remote Work from Overseas: No / Remote Work in Japan: Yes

Top-Selling Points

Rate of Foreigners

Less Than

Frequency of English Usage

Less Than

Remote work In-house product development Japanese learning support No dispatch Modern tech stack Short overtime work (less than 20 hours) New business Fast and short-term placement Involved in upstream processes

Related Skills

Programming Language

Python TypeScript

Experienced area / job

Machine Learning Natural Language Processing

Library/Framework

PyTorch

Data analysis / Machine learning

Tensorflow

Development tools

Git

Language Requirements

Required

Preferred

Job Description

【Business Overview】
We develop conversational service automation solutions. Utilizing AI Squared's Natural Language Processing (NLP) AI, we create productivity-enhancing solutions. Our goal is to commercialize cutting-edge AI technology to provide solutions that automate conversational services.
●　'QuickQA': An AI chatbot service for automating inquiries from employees and customers.
●　'QuickSummary2.0': An AI summarization service for contact centers.
●　'AI2 ASR': A cloud-based speech recognition system uniquely customized based on Whisper OSS.

【Job Responsibilities】
You will play an active role in one of the above products or in our new AI Agent service.

▼Development and Maintenance of Our Proprietary Natural Language Processing Engine:
└You will be involved in the development and maintenance of our proprietary NLP engines, including "Question Answering," "Text Classification," "Personal Information Discrimination," and "Sentiment Analysis."
＊Note: The developed engines are utilized in two ways: integrated into our own services like "QuickQA," "QuickSummary2.0," and "AI2 ASR," and developed based on client requests, then provided as APIs to individual clients.

▼Technology Research and Product Mockup Creation for New Service Development:
└Conduct preliminary research and evaluation for technology selection in new service development, such as "AI Agent." (This includes determining the scope of using third-party services vs. our own engines, selecting frameworks, etc.)
└Assist in creating product mockups (API development for the NLP AI component).

――――――――

In the domain of customer support, which is our target, this year is said to be the year of the "AI Agent." An "AI Agent" is like an assistant that autonomously executes assigned tasks based on its environment and necessary data. Leveraging the expertise we've cultivated in developing AI chatbots and speech recognition/summarization services, we've already started developing "AI Agents" that promote self-resolution for customer inquiries.

In service development, we plan to fuse generative AI models like ChatGPT, Claude, and Gemini with our proprietary technologies. We believe that achieving a highly efficient architecture for development and maintenance is just as crucial as delivering customer value. Therefore, we expect you to take a lead role from a technical perspective.

【Development Team】
■Department: Solution Development Department (approx. 17-18 members in total)
■Structure:
└Teams are divided into "tasks" within each product (3-4 members per product).
└Machine learning specialists and application development specialists are flexibly assigned according to tasks.
■Internal Language: Japanese (Business Level)
└Emphasis is placed on practical Japanese language experience in real-world work rather than certifications (like JLPT).
└This is due to the development of Japanese-compatible contact center services utilizing Natural Language Processing (NLP).

【Work Environment / Key Advantages】
◎Opportunity for AI Implementation Experience: You can experience the entire process of your developed AI engines or research outcomes being implemented in commercial products, contributing to our client companies' DX (Digital Transformation).
◎Strength in Natural Language Processing: You'll acquire practical skills in building and tuning AI models for real-world applications.
◎Exposure to Cutting-Edge Technology: You'll constantly be in touch with the latest technologies and industry case studies in the practical field of AI application to contact centers.
◎Thorough Support System: We have an open and approachable atmosphere where you can easily consult others. After joining, you'll be able to get up to speed with peace of mind through regular meetings during your first month while progressing with your work.

Required Skills and Experiences

【Required Skills and Experience】 (You don't need to be proficient in all of these.) ・Deep understanding of Generative AI and Large Language Models (LLMs) ・Experience developing applications using LLM APIs (e.g., OpenAI API, Anthropic Claude, Google Gemini) ・Practical experience with Prompt Engineering ・Experience developing RAG (Retrieval-Augmented Generation) applications ・Basic understanding of LLM fine-tuning and customization ・Experience using LLM frameworks such as LangChain, LlamaIndex ・Development experience using Python and related machine learning libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn) ・Experience with Japanese text morphological analysis and preprocessing ・Team development experience (Git, CI/CD, code review practices) ・Skills in machine learning model performance evaluation and performance analysis ・Ability to explain model performance and behavior to non-technical audiences 【Preferred Skills and Experience】・Deep understanding of the operational principles of Transformer models ・Experience fine-tuning Transformer-based models (e.g., GPT, BERT, T5, Whisper) ・Experience with efficient fine-tuning methods using LoRA, QLoRA, Adapter, etc. ・Experience with Domain Adaptation and Transfer Learning ・Knowledge and implementation experience of LLM distillation and lightweighting (e.g., quantization, pruning) ・Experience with MLOps and AI application operation ・Experience building search systems using vector databases ・Experience with large-scale dataset preprocessing and data pipeline construction ・Skill in researching academic papers and proposing solutions for technical challenges

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Working Condition

Here's the English translation of the job details, formatted as requested:

■ Work Location Details
Tokyo, Minato-ku, Shiba 5-31-17 PMO Tamachi 7F
(Remote work is highly encouraged)

■ Access
Tamachi Station: 5-minute walk

■ Working Hours
9:30 AM - 6:00 PM (Scheduled working hours: 7 hours 30 minutes)
・Break time: 60 minutes
・Overtime work: Yes (Average 20-30 hours per month)

■ Salary
・¥6,000,000 - ¥9,000,000 JPY
・Determined based on experience and skills.
・Salary system: Annual salary system
・Salary revision: Twice a year
・Probationary period: 3 months

■ Benefits and Welfare
・Flexible working hours available / Standard working hours: 7.5 hours
・Comprehensive social insurance
・Commutation allowance
・Work from home possible
・Casual dress code
・PC provided with desired specifications
・Skill development support system (for training, conferences, papers, books, certifications, etc.): Up to ¥100,000 JPY per year
・Congratulatory and condolence payments (marriage, childbirth, bereavement)
・Award leave based on years of service
・Internal communication (company-wide gatherings, company-wide meetings, year-end parties, final meetings, study sessions, project sharing sessions)
・Performance evaluation system

■ Other
・Maternity and childcare leave system
・Work-from-home system

■ Holidays and Vacations
・Complete two-day weekend system (Saturday and Sunday)
・Public holidays
・New Year's holidays
・Annual paid leave
・Special leave

RECRUITMENT PROCESS

1. Resume Screening
2. Interviews (2 rounds) Expected to be conducted online.
3. Offer
*Please note: The above process may be subject to change.
*An informal meeting with an employee may be conducted during the selection process.

PMO Tamachi 7F,5-31-17,Shiba Minato-ku,Tokyo

https://www.ai2-jp.com/

Private

11 - 50 employees

Capital 9,000万円

Tomohiko Hori

Since Dec 2015

Business (description what they do)

Providing various IT services and consulting utilizing artificial intelligence (AI)

A Company Developing AI Solutions Specializing in NLP

Established in December 2015 with the aim of transforming business through the use of artificial intelligence. We provide various IT services and consulting using artificial intelligence, and offer solutions for business automation with natural language processing technology at its core. By providing the latest natural language analysis technology and machine learning in an easy-to-use UI, the company has developed two new services: "QuickQA," which enables people without specialized knowledge to handle QA, and "QuickSummary," which enables high-level natural language processing such as summarization and keyword extraction, and supports a number of well-known companies in providing advanced services. While the number of companies working on artificial intelligence technology is increasing, our advantage lies in the performance of our AI engineers. By owning and operating our own contact center, we are able to accumulate raw data and know-how. Also, by using the most advanced deep learning AI, we are able to implement the service in a short period of time and with minimal load.

Our Service

- QuickQA QuickQA is an automated answering system that specializes in Japanese language using AI engine developed by AI Squared. The high-performance AI provides optimal answers to customers on behalf of support staff when they access the system from multiple channels, including telephone customer support, EC sites, corporate sites, and SNS links. In terms of learning to answer by AI, machine learning, which has been thought to be a complicated process, is turned into a management tool that can be operated intuitively and provided to customers so that learning can be done easily without any special knowledge. - QuickSummary QuickSummary is a system for automatic text summarization and classification. It extracts and summarizes only the important parts of long texts such as books and minutes with the number of characters and compression ratio specified by the user. In cases such as call centers, where the level of importance varies depending on the nature of the work, the model can be optimized by providing teaching data to control the variance in the quality of the work. In addition, tagging and extraction of key words and phrases can be done automatically, thereby eliminating human arbitrariness and enabling the understanding of trends that cannot be obtained through quantitative analysis.

International Work Environment

We foster an environment of diversity and respect, which not only encourages team members to collaborate and listen to others in our international workplace, but also promotes employee engagement, higher retention rates and productivity, all of which contribute significantly to our business growth. We are actively working to promote diversity in the markets we provide business automation for at all levels of the organization.

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