Autify

Senior AI Software Engineer (New project)

Job Summary

Conditions
  • 8,000,000 - 10,000,000(JPY / year)
  • Japan, Tokyo
  • Partial remote
  • Apply from Anywhere
Language Requirements
  • English: Business
  • Japanese: Not required
Key skills
  • Python
  • Deep learning
  • Fast API
Machine Learning Engineer|AutifyMachine Learning Engineer|AutifyMachine Learning Engineer|Autify

Job Description

Job Role

Machine Learning Engineer

Job Description

Job Purpose Since its official release in October 2019, Autify has been implemented by numerous clients, and our client base is continuing to grow. While we provide all the essential functions required in a test automation platform, we continue to receive requests for new functions and improvements. Autify is working on growing the product further by adding new features. Also, we are looking for opportunities beyond the existing Autify services. To expand our product lineup, we are looking for an AI engineer who focuses on prompt engineering to fully utilize the LLMs’ power, and building LLM-powered PoC applications in Python. You will mainly be responsible for developing a new product utilizing machine learning techniques and generative AI from a proof of concept into a releasable product. Responsibilities - Create effective prompts to maximize the quality of the output from LLMs based on the product specifications - Create PoC Web/CLI applications that use LLMs or ML under the hood to validate the feasibility of ideas - Build our machine learning models using data relevant to the software testing if needed - Work with other engineers, designers, and product leads to implement various features while considering performance, security, and reliability - Proactively identify functions that can be improved, and suggest possible solutions in the technical aspects and product-related ideas - Participate in on-call rotations for incident & alert handling

Required skills & Experience

Basic qualifications

- 2+ years of technical experience with Python and developing APIs with FastAPI and web applications - Over a year of experience in prompting open-source and closed-source LLMs - Has good comprehension and familiarity with CSS and HTML - Up to date with the latest Machine Learning Research especially on LLMs and Prompt Engineering - Experience in building metrics for evaluating various tasks LLMs. - Being able to work in Japan standard time (Working partially in JST can be discussed) - Ability to communicate and work in English

Preferred qualifications

- Over two years of experience in training and customizing deep learning models, especially LLMs - Knowledge of natural language processing and visual recognition - Proficient in the process of analyzing, hypothesizing, and testing - Experience in MLOps - Modern development experience with Agile or Scrum - Experience in E2E test automation with test automation frameworks like Playwright, Cypress, Selenium, Appium, and etc.

Job Details

Employment type
Full-time
Minimum and maximum annual income(JPY)
8,000,000 - 10,000,000 (JPY)
Salary details
¥8,000,000 - ¥10,000,000 a year
Reviewed twice a year
Location
Japan, Tokyo
Apply from
Anywhere
Remote work
Partial remote
Working hours
- Full flextime system
Note: The determination of working hours (start and end times) must be made to the extent that one's own duties (including guidance and supervision of subordinates) are properly performed and that there are no obstacles to work in terms of coordination and communication with other employees.
Holidays
- Complete a five-day workweek system (National holidays, year-end and New Year holidays, etc.)
- Unlimited paid time off
Employee benefits
- Equipped with various social insurance
- Regular health checkups
- Stock option
- A laptop PC will be rented when joining the company
- Remote work allowance
- English learning support
- Skill-up support
- Visa sponsorship
- Relocation bonus
- Relocation housing support
Selection flow
Selection Process
1. Submission of online coding test (take-home)
2. Submission of technical assignment (take-home)
3. Technical interview & HR interview: 90 mins
4. Final interview: 60 mins

Note:
- We will request to provide references after the final interview.
- The interview steps might change depending on the hiring status in our pipeline.
- We can arrange casual interviews before the coding test upon the candidate's request. (Subject to availability of both parties)
Others
Employment Status
- Regular employees
- Probation period: 3 months after joining the company (conditions are the same as permanent employment)
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