Principal Full Stack Software Engineer

Clearance Level Must Currently Possess:

Clearance Level Must Be Able to Obtain:

Job Family:

Job Description:

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure. 

Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.  

Iron EagleX is seeking a Principal Full Stack Software Engineer (Agentic AI focused) 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 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 using Streamlit, 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, including FastAPI-based services, to enable seamless communication between systems. 

• Build and maintain user interfaces that make complex AI, data, and analytics capabilities accessible to end users. 

• Establish and maintain CI/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 and maintain version control using Git to streamline collaboration and code management. 

• Collaborate with cross-functional teams to define, design, develop, test, and deliver new features. 

• Contribute to all stages of the software development life cycle, from concept and design through testing, deployment, and sustainment. 

• Proficiency in writing clean, maintainable, and efficient Python code. 

• Experience building AI-enabled web applications, analytic dashboards, or user workflows using Streamlit or similar technologies. 

• Strong knowledge of web technologies, containerization, RESTful APIs, and user interface development. 

• Experience designing and maintaining scalable backend solutions using Python frameworks. 

• Familiarity with relational database systems such as PostgreSQL and MySQL. 

• Proficiency with Docker; Kubernetes experience is a plus. 

• Proficiency with 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. 

• Experience developing modern front-end applications using React. 

• 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, DevSecOps practices, or secure software delivery environments. 

• Experience implementing reliable AI workflows with validation, error handling, retries, logging, and fallback strategies. 

• Understanding of MLOps concepts, 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 is required 

• 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, VA with optional CONUS travel 

• Due to US Government Contract Requirements, only US Citizens are eligible for this role  

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