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Wyetech

Software Engineer 2

Ft. Meade, Marylandsoftware engineering (full-time)midAdded today

About this role

Wyetech seeks an AI Engineer to support federal government customers' emerging AI initiatives, focusing on developing machine learning tools for vulnerability identification and LLM fine-tuning. You'll work with mission stakeholders to capture requirements, improve certification processes, and deploy AI/ML solutions for enhanced security capabilities.

What you'll do

  • Develop and fine-tune Large Language Models for vulnerability identification and mitigation
  • Collaborate with mission stakeholders to gather and document AI/ML requirements
  • Design and implement AI/ML tooling to enhance certification and planning processes
  • Create tools and techniques leveraging artificial intelligence for security applications
  • Support structured planning and process improvement through AI/ML integration
  • Maintain compliance with federal contract security and documentation standards

What they're looking for

  • Artificial Intelligence and Machine Learning
  • Large Language Model fine-tuning
  • Software engineering and development
  • Vulnerability assessment and mitigation
  • Requirements gathering and analysis
  • Federal/government contracting experience
  • Python or similar ML frameworks
  • Security and compliance knowledge

Benefits

  • Award-winning corporate culture
  • Work on cutting-edge AI and emerging technologies
  • Support mission-critical federal government projects
  • Unique employee experience rare in the industry
  • Opportunity to solve real-world security problems
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Wyetech

Wyetech builds cloud infrastructure, cybersecurity solutions, and advanced software systems for federal government clients, leveraging AWS, Kubernetes, machine learning, and cyber range technologies. The company is hiring Cloud Platform Engineers, DevOps Engineers, Software Engineers, and Test Engineers to develop and maintain these mission-critical systems.

View all jobs at Wyetech

Likely interview questions

  • Describe your experience fine-tuning Large Language Models and what specific use cases you've applied them to.
  • How have you approached capturing requirements from non-technical stakeholders in previous projects?
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