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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 develop machine learning solutions supporting federal government missions, including LLM fine-tuning for vulnerability detection and AI tooling for certification processes. The role requires US citizenship and an active TS/SCI security clearance with polygraph.

What you'll do

  • Design and implement AI/ML solutions for vulnerability identification and mitigation
  • Fine-tune Large Language Models for security and mission-specific applications
  • Collaborate with mission stakeholders to gather requirements and define project scope
  • Develop AI/ML tools to enhance certification and compliance processes
  • Contribute to structured planning and technology integration initiatives
  • Support the AI and Emerging Technologies mission with software engineering expertise

What they're looking for

  • Machine Learning and AI algorithms
  • Large Language Model (LLM) fine-tuning
  • Python or similar ML-focused languages
  • Software engineering best practices
  • Requirements gathering and stakeholder communication
  • Security and vulnerability assessment knowledge
  • Federal contract and compliance familiarity
  • Problem-solving and technical innovation

Benefits

  • Award-winning corporate culture
  • Work on meaningful federal government missions
  • Opportunity to break technological barriers
  • Unique employee experience within the industry
  • Access to cutting-edge AI/ML technologies
  • Collaborative team environment
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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 how you've applied it to solve real-world problems.
  • Walk us through a time you worked with government or federal stakeholders to capture requirements for a technical project.
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