Full Stack Software Engineer

Full Stack Software Engineer

Artly AI | Seattle, WA | Full-time | In person

Artly AI builds robots and the software that makes them useful in the real world. We are looking for a Full Stack Software Engineer who can independently build, ship, and operate reliable software—and who has clear evidence of using AI development tools to deliver substantial production systems.

You will work across the stack on applications, services, data workflows, and tools that support our products and operations. We want to understand what you built, how it performed in production, which parts you personally owned, and how AI helped you deliver it. In your first 30 days, you will learn our architecture and operating workflow, reproduce local and deployment environments, and ship multiple small production improvements with tests and monitoring.

What you will do

• Own features and systems from requirements and architecture through implementation, release, monitoring, and iteration.
• Build web applications, APIs, backend services, data workflows, integrations, and internal tools.
• Develop software that helps our team and operators manage real-world robotic systems and operations.
• Use AI coding assistants and agentic development tools to accelerate implementation, debugging, testing, documentation, and refactoring.
• Review generated changes and validate correctness, security, performance, and maintainability.
• Improve tests, CI/CD, observability, deployment and rollback procedures, reusable components, and documentation.

What we are looking for

• Strong professional software development experience, typically five or more years, or equivalent evidence of exceptional independent delivery.
• Meaningful ownership of software used in production, including responsibility after launch.
• Strong JavaScript/TypeScript skills and experience building frontend applications with React.
• Strong backend development skills in Java and Spring Boot, including APIs, databases, authentication/authorization, integrations, and failure handling.
• Practical experience with automated tests, code review, cloud deployment, monitoring, and production debugging.
• Demonstrated use of AI development tools on substantial real codebases. You can explain the workflow, show what improved, and describe how you found and corrected errors.
• Good technical judgment, clear communication, and the ability to make progress with incomplete requirements.

Useful additional experience

Robotics, IoT, telemetry, device management, 3D simulation, data pipelines, AI/ML tooling, distributed systems, infrastructure automation, or broad product ownership in a small team.

Compensation and benefits

• Annual base salary: $110,000–$170,000.
• Stock options.
• 20 paid vacation days per year.
• 10 paid holidays per year.
• Separate paid sick leave.
• Medical, dental and vision coverage.

How to apply

Submit your résumé and a short description of one substantial production system you shipped using AI development tools. Explain what it does, how it is used, the components and decisions you personally owned, how you used AI, how you verified the code, and one concrete outcome.

Links to a product, public repository, portfolio, or technical write-up are welcome. A sanitized description is sufficient for confidential work; please do not share proprietary code or sensitive employer information.

We value demonstrated contribution, engineering judgment, and reliable delivery. We do not evaluate AI proficiency by lines of generated code or by the percentage of code written by a tool.

This is a full-time, in-person position in Seattle, Washington. Learn more about Artly AI: https://artly.ai

Pay: $110,000.00 - $170,000.00 per year

Benefits:

• Dental insurance
• Health insurance
• Paid holidays
• Paid sick time
• Paid time off
• Vision insurance

Application Question(s):

• Describe one substantial production system you personally shipped using AI development tools. What did you own, how was it used, what did AI contribute, how did you validate the code, and what evidence shows the outcome? A sanitized example is sufficient; do not share proprietary code or sensitive information.
• Describe an AI-generated defect or difficult production failure you personally diagnosed. How did you identify the cause, validate the fix, and prevent recurrence? Explain your own contribution and the tradeoffs you considered.

Work Location: In person