Senior Principal AI Full Stack Software Engineer

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret/SCI

Clearance Level Must Be Able to Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Software Engineering

Job Qualifications:

Skills:

DevSecOps, Large Language Model (LLM) Fine-Tuning, Machine Learning Operations, Python (Programming Language), Relational Database

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

Yes

Job 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 DUTIES

• Lead the technical integration of modern AI and large language model capabilities into existing applications and workflows, including prompting, tool calling, retrieval-augmented generation (RAG), and related patterns.
• 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.
• Design, develop, and integrate APIs, including FastAPI-based services, to enable seamless communication between systems.
• Integrate 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.
• Ensure all developed solutions meet high standards for security, quality, reliability, and maintainability.
• Contribute to all stages of the software development life cycle, from concept and design through testing, deployment, and sustainment.

REQUIRED SKILLS

• Proficiency in writing clean, maintainable, and efficient Python code.
• Experience building and integrating 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.
• Ability to work effectively both independently and collaboratively in a fast-paced environment.

DESIRED SKILLS

• 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.

WHAT