Software Engineer (AI Native)

Lightspeed Systems • Austin, TX

6d • Hybrid

About The Position

We’re looking for engineers who think differently about how software gets built. Our Product Development team is growing, and we’re hiring a Software Engineer who actively use s 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 You don’t need you 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 We’re interested in how you think about leverage, not just how fast you type. 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 ADDITIONAL APPLICATION REQUIREMENT (Required) 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 [email protected] . We’re not evaluating production polish — we’re evaluating how you think and how you use AI as a tool.

Requirements

• 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
• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Snacks galore and a private chef serving up lunch Tuesday through Thursday every week
• A state-of-the-art fitness center (with outfitted locker rooms)
• Physical therapist onsite regularly
• Indoor and outdoor casual collaboration spots
• Pet-friendly office environment
• A golf simulator, go-carts, shuffleboard, corn hole, and MORE fun

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed