Software Engineer (AI Native)

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 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. 

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 applicationsgoawsgcpazuredockeraidataanalyticsproductdesign