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Wyetech

Software Engineer 2

Laurel, Marylandsoftware engineering (full-time)midAdded today

About this role

Wyetech seeks an AI Engineer to support federal government AI and emerging technologies initiatives, developing machine learning solutions and tools including fine-tuned language models for vulnerability detection. You'll collaborate with mission stakeholders on requirements, planning, and certification improvements while working in a Maryland-based role requiring U.S. citizenship and active security clearance.

What you'll do

  • Develop and implement AI/ML solutions for federal government customers
  • Fine-tune Large Language Models for vulnerability identification and mitigation
  • Capture and analyze requirements from mission stakeholders
  • Support structured planning and certification process improvements
  • Create AI/ML-powered tools to enhance security capabilities
  • Collaborate with cross-functional teams on emerging technology initiatives

What they're looking for

  • Machine Learning and AI techniques
  • Large Language Model (LLM) fine-tuning
  • Software engineering fundamentals
  • Requirements gathering and analysis
  • Vulnerability assessment and security
  • Python or similar ML programming languages
  • Security best practices for government work
  • Project planning and stakeholder communication

Benefits

  • Award-winning corporate culture
  • World-class employee experience
  • Federal government contract work
  • Opportunity to work on emerging AI technologies
  • Role at center of technological innovation
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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.

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Likely interview questions

  • Describe your experience fine-tuning Large Language Models—what datasets and frameworks have you used?
  • How have you applied machine learning to security or vulnerability detection problems?
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