Software Engineer - AI

Lightspeed is the leading provider of cloud-based software for dealerships, serving the Powersport, Marine, RV, Trailer, and Golf Car industries and adding hundreds of dealerships to the Lightspeed community each year.

Lightspeed’s Dealer Management Solution (DMS) enables dealerships to optimize their end‑to‑end business operations, including Sales, Parts, Service, Rentals, Payments, Accounting, and Customer Relationship Management (CRM). When implemented into their daily operations, Lightspeed helps dealers increase profitability by selling more units, service, and parts, while creating a more streamlined experience for customers.

Lightspeed is the most complete and integrated DMS in the industry with over 500 integrations with Original Equipment Manufacturers (OEMs), aftermarket parts and accessory distributors and dozens of other software tools that a dealership may use to run their business. Uniquely designed by dealers for dealers, and refined over the past four decades, Lightspeed empowers more than 4,500 dealers across North America with the tools and technology they need to manage their dealerships.

• Leverage AI coding assistants (Claude, Git Hub Copilot, or similar) to accelerate development, refactoring, and code review processes
• Collaborate in Agile teams to refine requirements, estimate tasks, and contribute to sprint activities with AI‑enhanced productivity
• Design and implement software solutions using object‑oriented principles, ensuring reusability, scalability, and maintainability
• Develop clean, efficient, well‑documented code with AI assistance while maintaining high standards of code ownership and understanding
• Utilize AI tools for automated testing, test case generation, and maintaining comprehensive unit test coverage
• Participate in AI‑assisted code reviews, focusing on architecture decisions, logic validation, and security considerations
• Work closely with business, product management, QA, and hosting teams to facilitate smooth rollouts across AWS environments (development, staging, production)
• Manage and optimize CI/CD pipelines with AI‑enhanced automation for build, test, and deployment processes
• Apply prompt engineering techniques to maximize effectiveness of AI coding tools for your specific development tasks
• Use team tools including Jira, Git Lab, Swagger Hub, Bruno, and AI platforms for project tracking, version control, API documentation, and testing
• Maintain comprehensive documentation in Confluence, leveraging AI to keep resources current and accessible
• Contribute to team knowledge sharing on AI tool best practices, effective prompts, and AI‑assisted development workflows

• Bachelor’s degree in Computer Science, Engineering, or related field with 3–5 years of development experience, including 1+ years of agentic AI development experience; or equivalent experience in lieu of a degree
• Proficiency in Python and Java (3–5 years each), with hands‑on experience in AWS cloud environments
• Demonstrated experience using agentic coding tools (Claude Code, Git Hub Copilot, Cursor, or similar), including the ability to critically evaluate, validate, and debug AI‑generated code
• Strong computer science fundamentals, including data structures, algorithms, object‑oriented design, and software architecture principles
• Proven experience with Agile and Scrum methodologies in fast‑paced development environments
• Experience developing and integrating RESTful APIs with proficiency in SQL and relational databases
• Understanding of distributed systems and microservices architecture
• Working knowledge of Linux/Unix operating systems and command‑line tools
• Strong communication and collaboration skills, with a growth mindset and ability to prioritize effectively in a fast‑paced environment

• Experience with prompt engineering and optimizing AI tool outputs for software development tasks
• Familiarity with test‑driven development (TDD) and achieving high code coverage standards, including AI‑generated test cases
• Knowledge of AI model capabilities, limitations, and best practices for AI‑assisted development
• Experience integrating front‑end and back‑end systems…