Developer - Generative AI Platform and Mission Support

Peraton•Herndon, VA

About The Position

Peraton Labs is seeking a Developer to provide customer development support while also contributing to a broader Generative AI Platform and AI Program Management Office (PMO) initiatives. This role is focused on hands-on software engineering execution — building features, fixing defects, writing tests, and helping maintain a production platform that serves critical customer mission needs. This position provides an excellent opportunity for a junior-to-mid-level engineer to grow their skills in a meaningful, mission-driven environment. You will work alongside senior engineers and technical leads, contributing directly to production software while gaining exposure to AI-enabled platform development, cloud-native engineering practices, and cross-functional product delivery. The ideal candidate is a motivated developer with solid programming fundamentals, a willingness to learn, and the ability to deliver reliable, well-tested code in a collaborative team environment.

Requirements

Minimum of a Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related technical field
2–5 years of relevant experience in software development, application engineering, or related technical roles
Solid proficiency in Python with demonstrated ability to write production-quality code
Familiarity with web development fundamentals, including REST APIs, HTTP, and client-server architecture
Experience with version control systems (Git) and collaborative development workflows
Basic understanding of relational databases and SQL
Familiarity with testing practices, including unit testing and basic integration testing
Strong problem-solving skills and attention to detail
Ability to work collaboratively in a team environment, accept direction, and communicate progress effectively
Strong written and verbal communication skills
US Citizenship with the ability to obtain and maintain a Public Trust suitability

Nice To Haves

Experience with JavaScript/TypeScript and front-end frameworks (React preferred)
Hands-on experience with Rust is a plus
Familiarity with cloud platforms (AWS preferred), containerization (Docker), or modern deployment practices
Exposure to CI/CD pipelines, automated testing frameworks (pytest or similar), or DevOps practices
Interest in or exposure to AI/ML concepts, LLM-enabled applications, or agentic AI systems
Experience with FastAPI, Flask, Django, or other Python web frameworks
Familiarity with PostgreSQL or other relational database systems beyond basic SQL
Experience working in Agile or Scrum development environments
Exposure to government, aviation, or other mission-driven technical environments
Demonstrated initiative in learning new technologies, contributing to open-source projects, or pursuing relevant certifications
Basic familiarity with data processing, ETL concepts, or analytical workflows

Responsibilities

Develop, test, and maintain software components supporting a generative AI platform under the guidance of senior engineers and technical leads
Build and maintain backend services, API endpoints, data processing logic, and integration components as directed by project requirements
Contribute to front-end development tasks as needed, supporting user-facing features and interface improvements
Write clean, well-documented, and testable code that meets team quality standards and engineering best practices
Participate in code reviews, providing and receiving constructive feedback to improve code quality and personal development
Support bug triage, defect resolution, and technical troubleshooting across the application stack
Contribute to broader Generative AI Platform and AI PMO development tasks, including shared services, tooling, and cross-platform integration work
Assist with automated testing, CI/CD pipeline maintenance, and deployment support activities
Collaborate with product owners, analysts, and fellow engineers to understand requirements and deliver effective technical solutions
Help maintain technical documentation, including code comments, API documentation, and system behavior descriptions
Participate in Agile ceremonies, sprint planning, and team collaboration activities
Continuously learn and grow technical skills, including exposure to AI/ML integration, cloud-native development, and modern engineering practices