Research Engineer I/II/III/IV/V/VI - Washington D.C.

Auburn UniversityAuburn, AL
Onsite

About The Position

The Charles D. McCrary Institute for Cyber and Critical Infrastructure Security at Auburn University seeks an experienced Research Engineer with Artificial Intelligence development experience to support applied research and national security initiatives. The role focuses on contributing to the security of the Defense Industrial Base (DIB), initially. The engineer will play a critical role in supporting current and emerging Artificial Intelligence research and the development of new capabilities. AI/ML and systems engineering is a capability that spans Army, DOE CESER, and FTA. This position is based in the Institute’s Washington D.C. office and reports to the Deputy Director of Applied Research & Services and Edge Lab Director. The McCrary Institute defends the systems that power our national and economic security, our communities, and our way of life. Through its Edge Lab, McCrary integrates research, policy, and real-world operations to deliver practical cybersecurity solutions.

Requirements

  • Bachelor's degree in Engineering that is relevant to the area of research
  • 2 years of Experience in engineering and research practices and principles (for Level II)
  • 4 years of Experience in engineering and research practices and principles (for Level III)
  • 6 years of Experience in engineering and research practices and principles (for Level IV)
  • 8 years of Experience in engineering and research practices and principles (for Level V)
  • 10 years of Experience in engineering and research practices and principles (for Level VI)
  • When a candidate has the required experience, but lacks the required education, they may normally apply additional relevant experience toward the education requirement, at a rate of two (2) years relevant experience per year of required education.
  • When a candidate has the required education, but lacks the required experience, they may normally apply additional appropriate education toward the experience requirement, at a rate of one (1) year relevant education per year of required experience.

Nice To Haves

  • Artificial Intelligence development experience

Responsibilities

  • Understand Natural Language Processing (NLP) and Model training, fine-tuning, and evaluation.
  • Utilize Large Language Models (LLMs), prompt engineering and optimization, and Retrieval-Augmented Generation (RAG).
  • Utilize and incorporate web service APIs.
  • Build software using web service APIs.
  • Build AI-powered applications (chatbots, copilots, automation tools), design and integrate APIs, design microservices architectures, develop data pipelines and ETL workflows, and understand vector databases.
  • Execute model deployment and monitoring.
  • Understand SQL and NoSQL databases, data preprocessing and cleaning, and working with structured & unstructured datasets.
  • Build AI agents and autonomous workflows, front-end frameworks (React, Next.js), security & privacy in AI systems, and scaling AI products to production.
  • Understand embeddings and semantic search.
  • Ability to work in either AWS or MS cloud.
  • Understand how to build and deploy applications into Department of War environments.
  • Document technical findings, vulnerability reports, and operational assessments in clear, actionable formats for internal stakeholders and external partners.
  • Collaborate with researchers across the AI labs.
  • Serve as the co-principal investigator (co-PI) on selected research proposals and funded efforts, supporting technical vision, work plan development, budget inputs, and execution oversight.
  • Contribute to technical content for grant proposals, sponsor briefings, and future research opportunities.
  • Utilize strong communication and presentation skills.
  • Recognize, analyze, and solve a variety of problems.
  • May require travel to Huntsville and Auburn.
  • Ensure issues, risks, and changes are communicated promptly to both sponsors and internal leadership.

Benefits

  • generous benefits
  • educational opportunities
  • a culture of support and work/life balance
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