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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, AI Systems - **Company:** Aptima Inc. - **Location:** Washington, DC, United States - **Experience:** Experienced - **Salary:** $125,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, C Sharp (Programming Language), Cloud Computing, Continuous Integration, Software Debugging, Python (Programming Language), Machine Learning, Modular Design, Natural Language Processing, Object-Oriented Software Development, Software Architecture, Tensorflow, Service Development Studio, Software Construction, Software Engineering, Software Systems, Systems Integration, Pytorch, LangChain, Large Language Models, Backend, Agentic-AI, Containerization, Kubernetes, Deployment Automation, HuggingFace, Machine Learning Operations, Multiaccess Edge Computing, Software Version Control, Data Pipelines, Devsecops, Docker - **Published:** October 27, 2026 - **Apply:** https://diversityjobs.com/career/18727383/Software-Engineer-Ai-Systems-D-C-Washington ## About the Role * 3-5 years of relevant experience and ability to obtain and maintain a US Government Security Clearance. * Willingness to travel when necessary * Demonstrated technical ability and initiative to lead and execute work independently. * Understanding across multiple technical domains, with expertise spanning AI/ML and software engineering. * Ability to apply engineering principles and software development practices to produce high-quality, customer-focused technical solutions. * Strong software engineering experience, including: 1. Object-oriented programming (Python preferred; Java, C#, or similar languages a plus). 2. Software architecture and modular design principles. 3. API and backend service development. 4. Version control and collaborative development workflows. 5. Testing, debugging, and production software practices. 6. Containerization and deployment technologies (Docker, Kubernetes, CI/CD pipelines). * Experience building AI/ML systems using frameworks such as: 1. PyTorch, TensorFlow, Hugging Face, LangChain, or similar tools. 2. LLMs, NLP, agentic AI workflows, computer vision, or multimodal systems. 3. Data processing pipelines and model development from large datasets. * Experience deploying AI models into operational environments, cloud platforms, or edge systems preferred. * Familiarity with MOSA, MBSE, and Government Reference Architectures, including modular design, defined interfaces, and standards-based integration is preferred * Familiarity with MLOps, cloud technologies (AWS, Azure, Kubernetes), and scalable deployment architectures is a plus. * Experience translating research prototypes into maintainable, production-quality systems strongly preferred. ## Description Operating in the Dayton, OH or Washington, D.C area and collaborating closely with Department of War (DoW) research customers, the Software Engineer, AI Systems will design, develop, deploy, and sustain advanced AI-enabled software systems that solve complex, mission-critical problems. You will work across the full lifecycle-from prototyping and fine-tuning AI models to engineering scalable applications and deploying production-ready solutions into operational environments. Whether building large language model applications, computer vision pipelines, multimodal AI systems, or agentic workflows, your work will directly support military readiness and innovation., In this role, you will bridge AI research and software engineering by transforming cutting-edge algorithms into robust, maintainable, and deployable systems. You will work hands-on with real-world datasets, build backend services and APIs, integrate AI models into software architectures, and collaborate closely with researchers, data scientists, and software engineers to deliver high-quality operational capabilities. By combining strong AI expertise with software engineering best practices, you will help advance the next generation of intelligent systems for defense applications., * Design, develop, deploy, and maintain AI-enabled software systems that leverage multimodal data sources to classify, assess, and model human performance and operational behaviors. * Build and integrate AI capabilities-including LLMs, agentic systems, computer vision models, and multimodal analytics-into scalable software applications and services. * Design and implement backend services, APIs, workflows, and software infrastructure that support production AI applications. * Collaborate within agile, cross-functional teams to transition research algorithms into operational software systems. * Develop, test, containerize, deploy, and maintain production-ready applications using modern software engineering and DevSecOps practices. * Contribute to software architecture, system integration, testing, CI/CD pipelines, and cloud or edge deployment strategies. * Successfully design and implement scientific and technical components of projects and proposals. * Lead execution of technical tasks, ensuring work is delivered with high quality and on schedule. * Contribute to technical reports, publications, presentations, proposals, and customer deliverables. * Support customer engagements through software demonstrations, integration activities, technical discussions, and capability briefings. * Continue professional development through conferences, technical literature, and emerging technologies in AI and software engineering. * Present work through professional publications, technical forums, and conferences.