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Senior AI Software Engineer
Defense Unicorns. Build AI-driven workflows that help users create, package, validate, and maintain mission applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building AI-driven workflows and integrating AI capabilities into software applications, with a strong focus on Kubernetes, CI/CD pipelines, and automated testing. Proven ability to design and deliver complex software systems while collaborating effectively across teams.
Highest-signal resume keywords
Go Programming LanguageTypeScript Programming LanguageKubernetesAutomated TestingCI/CD Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAI IntegrationAPIsDistributed SystemsAsynchronous WorkflowsApplication ArchitectureCloud-Native DevelopmentDebuggingSoftware ReliabilityPerformance Optimization
Soft Skills
CommunicationCollaborationProblem-Solving
Tools & Technologies
KubernetesContainersUDS PackagingDevelopment EnvironmentsAgent Orchestration
Industry Keywords
AI-Driven WorkflowsMission ApplicationsSoftware Delivery ToolingAutomated ValidationProduction Software Products
Tech Stack
Tools & technologiesCloudDistributed SystemsKubernetesTypeScriptGo
About the role
Key responsibilities & impact- Build AI-driven workflows that help users create, package, validate, and maintain mission applications
- Develop agent orchestration capabilities combining AI reasoning with deterministic tooling, validation, and human oversight
- Create secure, isolated development environments for executing AI agents and building software
- Integrate UDS packaging, Kubernetes, and software delivery tooling into automated development workflows
- Build systems managing persistent application state, development workflows, and asynchronous execution
- Develop automated testing and validation capabilities for secure, deployable software and UDS packages
- Own the design, implementation, testing, and delivery of complex software features and systems
- Drive technical decisions and contribute to architecture across product components
- Collaborate with Engineering, Product, UX, and Mission Heroes
- Debug issues across Kubernetes, virtualization, storage, networking, and operating systems
- Improve software reliability, security, performance, observability, and maintainability
- Review code, mentor teammates, document technical decisions, and establish engineering practices
Requirements
What you’ll need- U.S. citizenship required
- 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
- Strong communication, collaboration, and problem-solving skills
- Travel expectations/requirements: 0–5%
Benefits
Comp & perks- Medical/Dental/Vision
- Premiums are 100% Company Paid
- Health Savings Account
- Life Insurance
- Disability Insurance
- 401k Retirement Plan
- Company Stock Options
- Home Office Budget
- Flexible Time Off (FTO)
- Federal Holidays
- One week for Thanksgiving
- Two weeks for Christmas and New Year’s
- Paid Parental Leave
- Reimbursement for approved trainings/subscriptions
- Conferences (travel, lodging, and fees)