Hybrid AI/ML Software Engineer

at FTI - Frontier Technology Inc.

• Job title: AI/ML Software Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, AWS, Cloud, Distributed Systems, Docker, Java, Jenkins, Kafka, Kubernetes, Microservices, MongoDB, Postgres, Python, Redis, TypeScript
• Location requirements: Hybrid, Dayton, United States

About the role

• Software Engineer at Frontier Technology Inc. focuses on designing, building, and deploying secure software systems for defense missions spanning analytics and simulation environments.

Responsibilities

• Software Design & Development: 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.
• Cloud & Containerized Environments: 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.
• Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem).
• Systems Integration & Distributed Computing: 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.
• Data & Analytics Integration: Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
• Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
• Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.
• Security, Testing & Sustainment: Write, test, and deploy software within secure or classified environments.
• Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
• Support the transition of prototypes to operational systems, focusing on maintainability and observability.

Requirements

• Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
• 4–6 years of professional software engineering experience.
• Strong full-stack or systems engineering background.
• Proficiency in one or more of the following: Java, Python, C++, or TypeScript/Angular.
• Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
• Understanding of distributed systems and message buses (Kafka, Redis, etc.).

Benefits

• Health insurance
• Flexible work arrangements