Defenseunicorns Senior AI Software Engineer at Defenseunicorns to build AI-native software development products for secure mission environments. Responsible for design, implementation, and delivery of complex software features.
Responsibilities
Building AI-driven workflows that help users create, package, validate, and maintain mission applications
Developing agent orchestration capabilities that combine AI reasoning with deterministic tooling, validation, and human oversight
Creating secure, isolated development environments for executing AI agents and building software
Integrating UDS packaging, Kubernetes, and software delivery tooling into automated development workflows
Building systems that manage persistent application state, development workflows, and asynchronous execution
Developing automated testing and validation capabilities to ensure generated software and UDS packages are secure and deployable
Collaborating with Product, UX, and Mission Heroes to turn complex software development and delivery challenges into intuitive product experiences
Own the design, implementation, testing, and delivery of complex software features and systems
Drive pragmatic technical decisions and contribute to architecture across product components
Proactively identify and resolve ambiguity in collaboration with Product, UX, and Mission Heroes
Debug complex issues across Kubernetes, virtualization, storage, networking, and operating systems
Improve the reliability, security, performance, observability, and maintainability of our software
Qualification
Experience designingExperience integrating LLMsStrong understanding of APIsExperience with KubernetesExperience building reliableAbility to navigate ambiguity
Required
U.S. Citizenship required
Preferred
5+ years of professional software engineering experience
Strong proficiency in a modern programming language (Go and TypeScript preferred)
Experience designing, building, and operating production software products
Experience integrating LLMs, AI agents, or AI-powered capabilities into software applications
Strong understanding of APIs, distributed systems, asynchronous workflows, and application architecture
Experience with Kubernetes, containers, and cloud-native application development
Experience building reliable, testable systems with automated validation and CI/CD pipelines
Ability to navigate ambiguity, evaluate technical tradeoffs, and independently deliver complex solutions