Software Engineer; AI Native

Software Engineer

Hybrid role located in South Austin (near Dripping Springs). Sponsorship not available.

Our Product Development team is growing, and we’re hiring a Software Engineer who actively uses 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.

• 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

• 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 No
  
  SQL)
• Experience with Docker (or similar), CI/CD pipelines, and Git
• Strong debugging and problem‑solving skills

We care more about your system understanding and engineering judgment than a specific programming language. You don’t need to have built your own agent framework, but you should:

• 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

• 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

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.