Job Title: Software Engineer AI & Platform Engineering
Location: Dallas TX (Hybrid)
Competitive base salary performance bonus
100% company-paid benefits
Overview
We are hiring a Software Engineer to help build and enhance platforms that support both core infrastructure and emerging AI-driven capabilities.
This role blends application development with platform engineering focusing on integrating intelligent workflows into existing systems while maintaining high standards for performance reliability and usability. The ideal candidate has a strong engineering foundation and experience working on systems that incorporate or support AI/ML functionality.
Key Responsibilities
Application & Platform Development
Design and deliver scalable services and applications that support platform and infrastructure needs
Build internal tools that streamline automation improve system efficiency and enhance developer workflows
Write clean maintainable code aligned with modern engineering best practices
AI Enablement
Contribute to the integration of AI/ML capabilities within broader system architecture
Identify opportunities to leverage emerging AI technologies to improve platform capabilities
System Reliability & Enhancement
Support ongoing platform stability through issue resolution enhancements and continuous improvements
Participate in agile development processes including sprint planning and retrospectives
Required Experience
Strong experience developing software in production environments
Proficiency in Python; additional experience with Go is beneficial
Hands-on experience with containerized environments and orchestration platforms (e.g. Docker Kubernetes)
Familiarity with cloud environments such as AWS or Azure
Solid understanding of testing practices and maintainable code design
Experience working within agile teams and iterative development cycles
Preferred Experience
Exposure to AI/ML concepts or experience working on systems that incorporate intelligent workflows
Experience integrating external services APIs or data-driven components into applications
Familiarity with monitoring logging or telemetry systems
Experience building or supporting microservices-based architectures in cloud environments
Job Title: Software Engineer AI & Platform Engineering Location: Dallas TX (Hybrid) Competitive base salary performance bonus 100% company-paid benefitsOverviewWe are hiring a Software Engineer to help build and enhance platforms that support both core infrastructure and emerging AI-driven capabi...
Job Title: Software Engineer AI & Platform Engineering
Location: Dallas TX (Hybrid)
Competitive base salary performance bonus
100% company-paid benefits
Overview
We are hiring a Software Engineer to help build and enhance platforms that support both core infrastructure and emerging AI-driven capabilities.
This role blends application development with platform engineering focusing on integrating intelligent workflows into existing systems while maintaining high standards for performance reliability and usability. The ideal candidate has a strong engineering foundation and experience working on systems that incorporate or support AI/ML functionality.
Key Responsibilities
Application & Platform Development
Design and deliver scalable services and applications that support platform and infrastructure needs
Build internal tools that streamline automation improve system efficiency and enhance developer workflows
Write clean maintainable code aligned with modern engineering best practices
AI Enablement
Contribute to the integration of AI/ML capabilities within broader system architecture
Identify opportunities to leverage emerging AI technologies to improve platform capabilities
System Reliability & Enhancement
Support ongoing platform stability through issue resolution enhancements and continuous improvements
Participate in agile development processes including sprint planning and retrospectives
Required Experience
Strong experience developing software in production environments
Proficiency in Python; additional experience with Go is beneficial
Hands-on experience with containerized environments and orchestration platforms (e.g. Docker Kubernetes)
Familiarity with cloud environments such as AWS or Azure
Solid understanding of testing practices and maintainable code design
Experience working within agile teams and iterative development cycles
Preferred Experience
Exposure to AI/ML concepts or experience working on systems that incorporate intelligent workflows
Experience integrating external services APIs or data-driven components into applications
Familiarity with monitoring logging or telemetry systems
Experience building or supporting microservices-based architectures in cloud environments
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