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, Cloud, Distributed Systems, Docker, Java, Jenkins, Kafka, Kubernetes, Microservices, MongoDB, Postgres, Python, Redis, Terraform, TypeScript
• Location requirements: Hybrid, Washington, D C, United States

About the role

• Software Engineer designing, building, and deploying secure software systems for mission operations and analytics. Collaboration in team environments focusing on real-world technical challenges.

Responsibilities

• 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.
• Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
• Write, test, and deploy software within secure or classified environments.

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.).
• Exposure to DevSecOps, Zero-Trust, or ATO/RMF processes in DoD environments.
• Experience developing or integrating analytics and AI models into production systems.
• Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
• Experience deploying code in IL4–IL6 or edge/disconnected environments.
• Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
• Active Secret clearance (TS/SCI preferred).
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Benefits

• Telecommute options
• Support for career development