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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Agentic AI Full Stack Software Engineer - **Company:** General Dynamics Information Technology - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $153,000.0 - $207,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cloud Engineering, Continuous Integration, Data Integrity, Relational Databases, Design of User Interfaces, Python (Programming Language), PostgreSQL, Machine Learning, MySQL, Software Engineering, Software Systems, Management of Software Versions, Web Applications, Web Application Frameworks, Data Logging, ReactJS, Delivery Pipeline, Large Language Models, Software Security, Generative AI, Backend, Git, Data Layers, Containerization, Kubernetes, Information Technology, Data Analytics, Web Technologies, Front End Software Development, Virtual Agents, Software Coding, Restful APIs, Software Version Control, Automation Anywhere, Docker - **Published:** August 15, 2026 - **Apply:** https://dejobs.org/x/x/5C7D07B8DF244454A27B1204F766C470/job/ ## About the Role AI Ops,CI/CD,Docker (Software),User Interfaces (UI),Web Applications Experience: 8 + years of related experience, * Proficiencyin writing clean, maintainable, and efficient Python code. * Experience building AI-enabled web applications, analytic dashboards, or user workflows usingStreamlitor similar technologies. * Strong knowledge of web technologies, containerization, RESTful APIs, and user interface development. * Experience designing andmaintainingscalable backend solutions using Python frameworks. * Familiarity with relational database systems such as PostgreSQL and MySQL. * Proficiencywith Docker; Kubernetes experience is a plus. * Proficiencywith Git-based version control and collaborative software development workflows. * Hands-on experience with full stack development and a strong understanding of the software development life cycle. * Ability to work effectively both independently and collaboratively in a fast-paced environment., * Hands-on experience designing or developing LLM-powered agentic workflows that use tool calling, structured outputs, task planning, and multi-step execution. * Familiarity with component-based UI development, state management, and reusable front-end design patterns. * Experience integrating React-based frontends with RESTful APIs or Python-based backend services. * Experience supporting AI, machine learning, data analytics, or mission-focused software applications. * Familiarity with cloud-native application development,DevSecOpspractices, or secure software delivery environments. * Experience implementing reliable AI workflows with validation, error handling, retries, logging, and fallback strategies. * Understanding ofMLOpsconcepts, including model registry/versioning, reproducible environments, and CI/CD for ML-enabled systems., * Clearance:Current TS/SCI Clearance with active or ability to obtain CI Polygraph isrequired * Experience:8+years of related experience * Education:Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) * Role requirements:Work is onsite in Crystal City, VAwith optional CONUS travel * **Due to US Government Contract Requirements, only US Citizens are eligible for this role ** ## Description Iron EagleX is seeking a Principal Agentic AI Full Stack Software Engineer to support our AI team in Crystal City, VA. This role will design, deploy, and sustain critical components of our AI analytics stack, including analytic frontends, production APIs, interfaces between AI workflow components, and the underlying data layer., As a Principal Agentic AI Full Stack Software Engineer, you will be a core member of the AI team responsible for prototyping, building, and delivering critical data analytics capabilities. You will help translate emerging AI and machine learning concepts into reliable, user-focused software solutions that support mission outcomes., * Develop clean, maintainable, and efficient Python code while adhering to best practices and coding standards. * Lead the technical design and implementation of AI-enabled web applications and analytics usingStreamlit, React, or similar technologies. * Integrate modern AI and large language model capabilities into applications and workflows, including prompting, tool calling, retrieval-augmented generation(RAG), and related patterns. * Design, develop, and integrate APIs, includingFastAPI-based services, to enable seamless communication between systems. * Build andmaintainuser interfaces that make complex AI, data, and analytics capabilities accessible to end users. * Establish andmaintainCI/CD pipelines and container-based deployments using tools such as Docker to support repeatable builds and reliable releases. * Work with relational databases such as PostgreSQL and MySQL to ensure data integrity, performance, and efficiency. * Implement andmaintainversion control using Git to streamline collaboration and code management. * Collaborate with cross-functional teams to define, design, develop, test, and deliver new features. * Ensure all developed solutions meethigh standardsfor security, quality, reliability, and maintainability. * Contribute to all stages of the software development life cycle, from concept and design through testing, deployment, and sustainment. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Got AI ideas but no money? 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