About The Position

At Peraton, we deliver mission-critical technology solutions that protect and advance our nation. We are seeking a motivated Junior AI/ML Engineer to support the design and deployment of generative AI and machine learning solutions that drive automation and operational efficiency for a federal customer. This is an opportunity to grow your expertise in large language models (LLMs), cloud AI platforms, and production-grade machine learning systems while working alongside experienced AI engineers in a collaborative, mission-focused environment. What You’ll Do Support development and testing of generative AI prototypes and pilot solutions. Assist in implementing LLM-based workflows and structured outputs. Perform data preparation, exploratory analysis, and model validation using Python/R/SQL. Contribute to dashboards and data visualization efforts. Support integration of AI solutions with enterprise systems and APIs. Apply secure coding practices and adhere to AI governance and compliance standards. Contribute to documentation, knowledge sharing, and continuous improvement efforts.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or related STEM field and two years’ experience or high school diploma/equivalent and six years’ experience.
  • Working proficiency in Python; familiarity with APIs and modern IDEs (e.g., VS Code).
  • Exposure to machine learning fundamentals and LLM usage.
  • Familiarity with Git and modern development workflows.
  • US Citizenship required; must have the ability to obtain/maintain a Public Trust clearance.

Nice To Haves

  • Experience with TensorFlow or PyTorch.
  • Exposure to generative AI, prompt engineering, or RAG architectures.
  • Experience with Azure, AWS, or Google Cloud AI services.
  • Entry-level AI or cloud certifications.

Responsibilities

  • Support development and testing of generative AI prototypes and pilot solutions.
  • Assist in implementing LLM-based workflows and structured outputs.
  • Perform data preparation, exploratory analysis, and model validation using Python/R/SQL.
  • Contribute to dashboards and data visualization efforts.
  • Support integration of AI solutions with enterprise systems and APIs.
  • Apply secure coding practices and adhere to AI governance and compliance standards.
  • Contribute to documentation, knowledge sharing, and continuous improvement efforts.
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