FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments in Dayton, Ohio. This is a hands-on engineering role focused on writing code, building end-to-end systems, and solving real-world technical challenges in secure, distributed environments. Our team delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution, integrating people, processes, and technology.
FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments in Dayton, Ohio. This is a hands-on engineering role focused on writing code, building end-to-end systems, and solving real-world technical challenges in secure, distributed environments. Our team delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution, integrating people, processes, and technology.
Responsibilities include: - Designing and implementing APIs, data pipelines, and simulation runtime logic that connect mission applications - Developing software with languages such as Java, Python, C++, or TypeScript/Angular - Writing clean, testable, and secure code following best practices - Building modular microservices to improve scalability, maintainability, and interoperability - Building and deploying containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines - Implementing Infrastructure-as-Code and automation scripts for faster deployment and configuration management - Contributing to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem) - Developing distributed systems and data integration frameworks using message buses like Kafka or Redis - Engineering data flows between analytic, AI, and simulation components to support real-time mission use cases - Integrating AI/ML outputs into runtime systems an
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Responsibilities include: - Designing and implementing APIs, data pipelines, and simulation runtime logic that connect mission applications - Developing software with languages such as Java, Python, C++, or TypeScript/Angular - Writing clean, testable, and secure code following best practices - Building modular microservices to improve scalability, maintainability, and interoperability - Building and deploying containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines - Implementing Infrastructure-as-Code and automation scripts for faster deployment and configuration management - Contributing to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem) - Developing distributed systems and data integration frameworks using message buses like Kafka or Redis - Engineering data flows between analytic, AI, and simulation components to support real-time mission use cases - Integrating AI/ML outputs into runtime systems an
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Based on: AI/ML Software Engineer
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