AI/ML Engineer

Peraton•Herndon, VA

6d•Onsite

About The Position

Peraton Labs is seeking an AI/ML Engineer to support the development of AI-enabled products and technical capabilities for the FAA BNATCS Program. This role is focused on building practical, mission-relevant software systems that apply AI/ML techniques in usable, operationally meaningful ways. This position provides an opportunity to help build the next generation of AI-enabled mission capabilities in a hands-on engineering role where execution matters. You will work alongside technical teams developing real products and operationally relevant capabilities, with the chance to contribute meaningfully across software, AI integration, system design, and mission delivery. Key responsibilities may include: Design, build, test, and maintain AI/ML enabled applications and software components supporting our objectives Develop production-oriented software in Python and other languages as needed by the mission and technical environment Integrate LLMs, AI APIs, and model-driven services into practical tools, workflows, and user-facing capabilities Contribute to backend services, orchestration logic, data processing pipelines, and user-facing application features as needed Collaborate with internal Labs teams to transition concepts and prototypes into reliable technical solutions Support the implementation of Agentic AI workflows, intelligent orchestration patterns, and AI enabled mission applications Write clean, maintainable, extensible code and contribute to sound engineering practices across the development lifecycle Participate in technical tradeoff discussions related to tools, frameworks, architecture, and implementation approach Help troubleshoot, improve, and refine system performance, usability, and technical integration points Work effectively in a fast-moving environment where requirements may evolve and strong engineering judgment is essential

Requirements

Bachelor’s degree with 5+ years of relevant experience, Master’s with 3+ years, or PhD with demonstrable applied software and AI/ML engineering experience
Strong software development experience with expertise in Python
Experience with one or more additional programming languages such as C, C++, Javascript, Go, and/or Java
Demonstrated experience building and delivering technical software solutions in professional, research, or mission-oriented environments
Experience integration LLMs at the API level into applications, tools, or workflows
Familiarity with modern AI/ML development patterns, including model integration, orchestration, prompting workflows, or agent-based system concepts
Familiarity with agentic AI concepts, autonomous workflows, or intelligent orchestration patterns
Strong analytical problem-solving skills and ability to work in an evolving technical environment
US Citizenship with the ability to obtain and maintain an FAA Public Trust suitability
Must be local to and willing to commute to our Herndon, VA location

Nice To Haves

Experience with ML frameworks such as PyTorch or TensorFlow
Familiarity with Anthropic Model Context Protocol (MCP) or similar tool-integration frameworks
Experience with backend development, APIs, microservices, or distributed application design
Experience with infrastructure and orchestration tooling such as Docker, Kuberentes, Terraform, or comparable technologies
Experience building internal tools, mission applications, or user-facing technical products
Familiarity with data processing pipeline, feature preparation, or workflow automation in AI enabled systems
Understanding of networking fundamentals and the OSI stack
Experience in rapid prototyping environments with an ability to mature prototypes into durable capabilities
Exposure to aviation, government, or other mission driven technical environments

Responsibilities

Design, build, test, and maintain AI/ML enabled applications and software components supporting our objectives
Develop production-oriented software in Python and other languages as needed by the mission and technical environment
Integrate LLMs, AI APIs, and model-driven services into practical tools, workflows, and user-facing capabilities
Contribute to backend services, orchestration logic, data processing pipelines, and user-facing application features as needed
Collaborate with internal Labs teams to transition concepts and prototypes into reliable technical solutions
Support the implementation of Agentic AI workflows, intelligent orchestration patterns, and AI enabled mission applications
Write clean, maintainable, extensible code and contribute to sound engineering practices across the development lifecycle
Participate in technical tradeoff discussions related to tools, frameworks, architecture, and implementation approach
Help troubleshoot, improve, and refine system performance, usability, and technical integration points
Work effectively in a fast-moving environment where requirements may evolve and strong engineering judgment is essential