Mechanize, Inc. is Hiring a Full-Stack Engineer
Compensation
Total compensation: $300k - $600k/yr (salary + equity), depending on experience.Location
San Francisco onsite preferred, US remote for the right candidate.About Mechanize
Mechanize is creating high-fidelity virtual work environments, benchmarks, and datasets to enable AI agents to master real-world jobs—starting with full-stack software engineering.The Role
As our first dedicated product engineer, you will:- Build the core simulation platform: Create a realistic, containerized environment where AI agents perform software engineering and other professional tasks.
- Design realistic evaluation scenarios: Independently identify meaningful software engineering tasks, determine clear grading criteria, and select the appropriate tools and workflows that allow AI agents to reliably complete tasks.
- Develop a consumer software product: This product will serve as a foundation for our simulation platform, where we will task AI agents with building and modifying this product. This will require full stack skills from writing a backend in Python and a frontend with web technologies like React, Typescript, HTML and CSS.
- Establish engineering standards: Set up automated testing, practical CI/CD pipelines, effective monitoring, and clear processes to ensure high-quality code and quick issue resolution.
- Influence technical direction: Directly shape product development, make key architectural decisions, and contribute to growing our engineering team at an early-stage startup.
- Have 5+ years of experience building full-stack software products, including leading at least one significant project from idea to production.
- Write fluent TypeScript (React) and Python, and are comfortable with deployments in Kubernetes-based environments.
- Have practical experience with designing robust CI/CD processes, automated testing strategies, and effective monitoring and observability.
- Enjoy working closely with users (internal stakeholders and customers) to iterate quickly and deliver functional software.
Bonus points for experience with:
- Container orchestration platforms (Kubernetes)
- Developer tools or internal platforms
- Reinforcement learning (RL) or machine learning (ML) workflows and infrastructure
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Interested?
Send your CV, GitHub or portfolio links, and a brief note describing a relevant product or system you've built to hiring@mechanize.work (Subject: Full-Stack – Your Name).Know someone perfect for this role? We offer a $20,000 referral bonus if you introduce us to our next hire.