We’re looking for engineers who think differently about how software gets built and who actively use modern AI tooling and agents as part of their real development. This isn’t a “prompt engineering” role — it’s a hands‑on engineering role for someone who understands how cloud systems work and uses AI tools to ship faster without compromising quality.
NOTE: This is a hybrid role located in South Austin (near Dripping Springs). Sponsorship is not available for this position.
About the Role
- Design and implement scalable services in a cloud environment
- Contribute to architecture decisions with guidance from senior engineers
- Build and maintain APIs and service integrations
- Use AI agents to assist with coding, testing, refactoring, and debugging
- Review and validate AI‑generated code for correctness and maintainability
- Improve performance, reliability, and observability of existing systems
- Collaborate cross‑functionally to translate business needs into technical solutions
- Continuously evaluate and improve your AI‑assisted development workflow
About You
- 3–6 years of experience shipping production software
- Experience building or contributing to cloud‑based applications (AWS, Azure, GCP, or similar)
- Understanding of service‑based or microservices architectures
- Experience designing and consuming RESTful APIs
- Familiarity with databases (SQL and/or NoSQL)
- Experience with Docker (or similar), CI/CD pipelines, and Git
- Strong debugging and problem‑solving skills
We are not optimizing for a specific programming language. We care more about your system understanding and engineering judgment.
AI Expectations
- Actively use AI coding assistants in your day‑to‑day development
- Be able to explain how you validate AI‑generated outputs
- Have experimented with running multiple agents or workflows in parallel
- Understand when not to rely on AI
- Be thoughtful about code quality, security, and edge cases
Bonus Points
- Experience working on high‑availability SaaS platforms
- Familiarity with messaging systems (Kafka or similar)
- Experience with infrastructure‑as‑code
- Exposure to observability tools (monitoring, tracing, alerting)
- Experience integrating AI services or APIs into applications
Application Requirement
Along with your resume, please submit a ~3‑minute screen recording showing how you incorporate AI agents into your development workflow. You may email it to . We’re not evaluating production polish – we’re evaluating how you think and how you use AI as a tool.
Lightspeed Systems is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals and in which personnel processes are merit‑based and applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, or other protected characteristic.
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