AI-Driven Innovation Engineer

| Global Market for QA

Markets are changing rapidly, and there is a demand for quick software releases. Agile development has become mainstream; on a global scale, 92% of developer teams adopt agile development, 71% of which aim to release at least once a week. With such a rapid cycle, manual verification is too time-consuming, and there is an urgent need for automation. Our services can solve these critical challenges and make our clients a competitive advantage in software development. QA’s global budget is said to reach over $1 trillion. We are rapidly expanding our service reach internationally to win this vast global market.

| About Us

Autify, Inc. is a San Francisco-based startup that was founded by the first Japanese team to graduate from Alchemist Accelerator, one of the top accelerators in the US. With the mission to empower people’s creativity through technology, we have been offering an AI-powered automation platform aiming to eliminate the test phase.

Since 2019, we’ve been providing our AI-powered nocode test automation product and have grown the team to 100+. Our next move is to double down on GenAI. As we have been investing in AI and helping customers’ software quality since 2019, we know how to best utilize GenAI in software QA. With that, we have recently launched our new product, Genesis, a GenAI agent for software quality assurance. 

| About This Role

Job Purpose

We are seeking a highly motivated and innovative AI-Driven Innovation Engineer to join our team for an exciting, undisclosed project focused on the US market. This is a unique opportunity to be a key player in a fast-paced environment where you will have the autonomy to drive the development of proof-of-concept solutions. You will leverage your expertise in AI and full-stack development to rapidly iterate and deliver impactful results. This is not a traditional software development role.

We are looking for someone who thrives in research projects, is passionate about exploring new technologies and solutions, and can independently translate concepts into tangible demonstrations of value.

• Independently design, develop, and deploy proof-of-concept (POC) solutions leveraging AI technologies.
• Rapidly iterate on POCs based on feedback and market demands.
• Explore and evaluate various AI/ML frameworks, tools, and platforms to determine the best fit for project needs.
• Develop full-stack components for POCs, including frontend, backend, and database integration.
• Drive the identification of key challenges, and propose innovative solutions.
• Communicate technical findings and recommendations clearly and effectively to both technical and non-technical audiences, including product stakeholders
• Stay up-to-date with the latest advancements in AI and related technologies.
• Proactively identify opportunities to apply AI to solve complex problems and create new value.
• Mentor more junior department members in emulating this innovative and iterative spirit.

• 5+ years of experience in software development, with a focus on full-stack development.
• Strong understanding of AI/ML concepts and experience applying AI to real-world problems.
• Proven ability to independently deliver working proof-of-concept solutions.
• Experience with modern web development technologies (e.g., Typescript, React, Node.js).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Self-motivated, driven, and able to work autonomously.

• Experience with specific AI/ML frameworks or libraries (e.g., TensorFlow, PyTorch).
• Experience with other backend languages (e.g., Python, Go, Ruby). 
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with test automation or QA pipeline and best practices. 

• A strong drive to innovate and create—someone who leads by example as a role model for innovation.
• A proactive and solution-oriented mindset.  
• Comfortable with ambiguity and able to adapt quickly to changing priorities.

Selection Process

1. Casual chat with VP of Engineering

2. TBD

| About the Engineering Team

Our Team

Autify's engineering team is international, with more than half of the engineers being foreign nationals and all developers being English speakers. We have a good culture where members respect each other's backgrounds. Since we have two products, Autify for Web and Autify for Mobile, our development engineers are divided into two teams corresponding to each product. We have about 30 front-end, back-end, and technical support engineers who work closely with engineering managers, product managers, QA managers, designers, and machine learning engineers. The product manager is in charge of the general roadmap. The product manager develops a rough roadmap and works with the engineers and designers on the details of each feature and bug fixes before implementation. Depending on the size of the feature, we appoint a feature lead from among the engineers to be in charge of the project and give them the discretion to make technical decisions.

Our Development Process

We create a ticket about what kind of function we will develop. In some cases, the product owner creates it based on user feedback; in other cases, each team creates bugs and investigation requests directly. 

The development cycle consists of one Sprint, which takes two weeks. Development tasks are assigned during the planning stage on the first day of the Sprint, and we hold a daily standup meeting to check the overall progress and any problems. (If there is a time difference, it is done at lunchtime).

We review code on GitHub. After the review, the merged branches are automatically deployed to the staging environment, and E2E tests are performed (which Autify does itself).

After testing on the integrated branch, it's deployed to the production environment. Deployment is done several times a week as needed. We also hold sprint ceremonies like Sprint planning, feature refinement and sprint retrospective sessions. The developer will demonstrate the developed function to all employees at the end of the Sprint in the Sprint Demo.

Tech Stack

- Backend: Ruby, Ruby on Rails, Go

- Frontend: JavaScript, TypeScript, React, Redux, Styled Components

- Machine learning: Python, PyTorch, Kubernetes, GPT-4

- Database: PostgreSQL, Redis

- Test: Appium, Selenium, WebdriverIO, Puppeteer

- Infrastructure: AWS, Docker, Terraform, Packer, MacStadium, GoogleCloud

- Monitoring: Datadog, New Relic, Sentry

- CI/CD: CircleCI, GitHub Actions

- Source code management: GitHub

- Project management: Jira

- Misc.: G Suite, Slack, Notion, Gather, Zoom, Miro, 1Password, Mixmax, Calendly, etc.

| Employment Conditions

Employment Status

- Permanent employee (Full-time)

- Probation period: 6 months after joining the company (conditions are the same as permanent employment)

Work Location

- Tokyo office or Remote in Japan

- Working from the office is required at least once a week.

Work Hours

- Full flextime time

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.

Bonus

- Twice a year

Holidays/PTO

- Complete a five-day workweek system (National holidays, Year-end and New Year holidays, etc.)

- Unlimited paid time off

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

| Resources

Autify - en

https://autify.com/

Autify - ja

https://autify.jp/

Entrance Book

https://autifyhq.notion.site/Autify-Entrance-Book-10ccd3454203492d82ae9608f0546ffe

Career

https://autify.com/careers

Blogs

https://autify.com/blogs/