Scout Motors is looking for a Software Engineer to build, maintain, and test software solutions that help change the way we understand people. You will join a team focused on leveraging AI-assisted development to build scalable and robust features.

What You'll Do

Write, maintain, and test code.
Leverage LLMs and AI coding assistants to accelerate development while maintaining high quality standards.
Identify and resolve issues, bugs, and requests efficiently with AI-augmented debugging.
Collaborate with product managers and designers to build engaging user features.
Collaborate with your team to design, develop, and maintain scalable, robust, and efficient software solutions leveraging 3rd party APIs.
Build and integrate AI agents and agentic workflows into the platform and development processes.
Support internal teams with engineering expertise.
Collaborate with other engineers to improve the codebase, architecture, and systems.
Contribute to and refine AI-first development practices and tooling.
Work with other engineers to build complex features.

What We're Looking For

3-5 years of professional software development experience.
3+ years of proficiency in JavaScript or TypeScript.
2+ years of proficiency in one of the following: Python, Ruby, Java, Go, or Rust.
Experience with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar).
Ability to effectively prompt and collaborate with LLMs to accelerate development.
2+ years of experience with common web technologies, frameworks, and paradigms.
2+ years of experience applying fundamental software engineering concepts, conventions, and best practices.
2+ years of experience with unit tests and testing best practices.
Strong critical thinking skills to evaluate and refine AI-generated code.
Experience developing on one of the following cloud platforms: Google Cloud Platform, AWS, Azure.

Nice to Have

5+ years of professional software development experience.
Experience building, deploying, or integrating AI agents and agentic systems.
Experience with Python and Django.
Experience with Kubernetes and Docker.
Experience with React.
Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases.

Technical Stack

JavaScript, TypeScript
Python, Ruby, Java, Go, Rust
Django, React
Kubernetes, Docker
Google Cloud Platform, AWS, Azure

Team & Environment

You will join a cross-functional team of product managers and engineers, which also collaborates with Go-to-market teams at times. The team size is between 10 to 50 employees.