Mid-level AI/ML Engineer

Peraton
3d$112,000 - $179,000

About The Position

Peraton is seeking a mid-level AI/ML Engineer to design, develop, and deploy scalable AI/ML and generative AI solutions in support of a federal customer mission. This role focuses on production-ready AI systems, LLM-based workflows, and automation solutions that enhance operational performance and decision-making. You will collaborate with technical and non-technical stakeholders to translate requirements into robust AI architectures while ensuring compliance with security, privacy, and ethical AI standards.

Requirements

  • Bachelor’s degree with 8+ years of experience or Master’s degree with 6+ years experience in a STEM discipline or high school diploma/equivalent and 12 years of experience
  • Demonstrated experience building and deploying AI/ML solutions in production environments.
  • Strong proficiency in Python; experience with APIs and cloud AI platforms.
  • Experience with LLM platforms (e.g., Azure OpenAI, GPT models, Claude, Gemini).
  • Experience with RAG architectures and advanced prompt engineering.
  • U.S Citizenship; must have the ability to obtain/maintain a Public Trust clearance.

Nice To Haves

  • Experience with TensorFlow, PyTorch, or similar ML frameworks.
  • Experience with agent frameworks or autonomous AI workflows.
  • Familiarity with Anthropic MCP or similar orchestration protocols.
  • Cloud AI certifications (AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer).

Responsibilities

  • Design and implement generative AI solutions from pilot through production deployment.
  • Develop agent-based LLM workflows with structured outputs and tool integrations.
  • Perform advanced data modeling, predictive analytics, and statistical analysis.
  • Deploy AI/ML models using modern DevOps practices (Git, CI/CD).
  • Integrate AI capabilities with enterprise systems and cloud environments.
  • Implement monitoring, guardrails, and governance controls for responsible AI.
  • Provide technical guidance and collaborate across multidisciplinary teams.
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