Principal Agentic AI Full Stack Software Engineer
General Dynamics Information TechnologyAbout the role
Type of Requisition:
RegularClearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret SCI + PolygraphPublic Trust/Other Required:
NoneJob Family:
Software EngineeringJob Qualifications:
Skills:
AI Ops, CI/CD, Docker (Software), User Interfaces (UI), Web ApplicationsCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
YesJob Description:
YOUR IMPACT
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.
OUR COMPANY
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.
JOB 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.
MEANINGFUL WORK AND PERSONAL IMPACT
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.
JOB DUTIES (INCLUDE BUT ARE NOT LIMITED TO)
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 integri
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