Ai Infrastructure Engineer

Scout Motors

Charlotte, United States
Base: $120,000.00 - $145,000.00; bonus/equity: eli...
On-site
Install, configure, and maintain ai platform
Design, deploy, and operate ml/llm infrastructure
Containerize and deploy ai services using docker
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace

Job Summary

  • Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace.
  • Scout Motors provides competitive compensation and benefits to support your physical, mental, and financial wellbeing.
  • This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program.

Matching Summary

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace.

Salary

Base: $120,000.00 - $145,000.00; Bonus/Equity: eligible to participate in an annual performance bonus program; Benefits: competitive compensation and benefits

Skills & Requirements

Must-have

  • Install, configure, and maintain AI platform
  • Design, deploy, and operate ML/LLM infrastructure
  • Containerize and deploy AI services using Docker
  • Build Machine Learning CI/CD pipelines
  • Deploy AI services across cloud and on-prem
  • Automate infrastructure provisioning using Terraform
  • Implement observability for agentic AI systems
  • Perform security updates and vulnerability remediation
  • Integrate AI tools with APIs and data platforms
  • Troubleshoot infrastructure, data, and deployment issues
  • Research and prototype new AI/LLM/MLOps tools
  • Scripting skills (Python, PySpark, Bash)
  • Knowledge of security best practices

Nice-to-have

  • Visionary and leader
  • Collaborative approach
  • Teaching and coaching approach
  • Growth mindset
  • Entrepreneurial teams

Key Requirements

  • 7+ years Practical experience with LLM platforms, LLMOps, and MLOps
  • Experience deploying and maintaining AI or data platforms in production
  • Experience designing and orchestrating agentic automation workflows
  • Strong experience with Terraform and Infrastructure-as-Code
  • Proven experience deploying applications using Docker
  • Expertise with cloud platforms such as AWS
  • Expertise with CI/CD tooling (GitHub Actions, GitLab CI)
  • Strong Knowledge of Kubernetes and orchestration
  • Solid understanding of networking
  • Experience supporting high-availability, production AI systems
  • Bachelor's degree in computer science, information technology, or related field or equivalent work experience
  • Minimum of High School Diploma, GED or equivalent required

Work Rights

Not specified

Tailored Resume

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