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Wyetech

Software Engineer 3

Laurel, Marylandsoftware engineering (full-time)midAdded today

About this role

Wyetech seeks a Senior AI Engineer to design and deploy mission-critical AI and analytics solutions for federal government customers in a highly regulated environment. You'll lead end-to-end implementation of governed AI systems, integrate advanced AI APIs, and build compliant, auditable solutions using cloud-native platforms.

What you'll do

  • Design and develop mission-critical AI and analytics solutions within governed federal environments
  • Implement analytic and AI governance frameworks (AVG, AAA) ensuring compliance and auditability
  • Integrate advanced AI capabilities using OpenAI APIs, AWS Bedrock, and similar services
  • Build front-end experiences using React, AWS Amplify, and modern web technologies
  • Deploy and manage models on cloud-native platforms (AWS SageMaker, EKS, container solutions)
  • Drive AI solutions from concept through production deployment using agile methodologies

What they're looking for

  • AI/ML model development and deployment
  • Analytic and AI governance frameworks (AVG, AAA)
  • AWS services (SageMaker, EKS, Bedrock, Amplify)
  • React and front-end development
  • Git, GitLab, Hugging Face, and model management tools
  • Agile/Scrum methodologies and Jira/Confluence
  • API integration (OpenAI, AWS)
  • Compliance and auditable systems design
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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 implementing AI governance frameworks in regulated environments and how you ensured model compliance and auditability.
  • How have you integrated third-party AI APIs like OpenAI or AWS Bedrock into production systems, and what challenges did you encounter?
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