AI/ML Software Engineer

FTI - Frontier Technology Inc.

AI/ML Software Engineer designing and deploying secure systems for mission operations. Collaborating on advanced engineering solutions for Department of Defense and Intelligence Community.

Posted 6/3/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AngularCloudDistributed SystemsDockerJavaJenkinsKafkaKubernetesMicroservicesMongoDBPostgresPythonRedisTypeScript

About the role

Key responsibilities & impact

Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications
Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular
Write clean, testable, and maintainable code following secure coding and software engineering best practices
Build and integrate modular microservices to improve scalability, maintainability, and interoperability
Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent)
Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management
Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis
Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases
Collaborate with system engineers and architects to ensure interoperability across software ecosystems
Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships
Write, test, and deploy software within secure or classified environments.

Requirements

What you’ll need

Must be a U.S. citizen and be willing to obtain and maintain a security clearance
6-10+ years of professional software engineering experience
3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments
Strong full-stack or systems engineering background
Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular
Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines
Complete understanding of distributed systems and message buses (Kafka, Redis, etc.)
Experience developing or integrating analytics and AI models into production systems.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements

ATS Keywords

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Hard Skills & Tools

JavaPythonC++TypeScriptAngularDockerKubernetesCI/CDKafkaRedis

Soft Skills

collaborationproblem-solvingcommunicationinteroperabilityscalabilitymaintainability

Certifications

security clearance