AI Infrastructure Engineer

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

Bachelor's degree in computer science, information technology, or related field or equivalent work experience.

7+ years Practical experience with LLM platforms, LLMOps, and MLOps.

Experience deploying and maintaining AI or data platforms in production.

Hands-on experience with AI/automation tools.

Experience designing and orchestrating agentic automation workflows.

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $120,000.00 - $145,000.00

Internal leveling code: IC8

Notice to applicants:

Residing in

San Francisco

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

Install, configure, and maintain AI platform and tools.

Design, deploy, and operate infrastructure supporting ML and LLM workloads.

Build, containerize, and deploy AI services using Docker.

Build and maintain Machine Learning CI/CD pipelines for training, testing, and deployment.

Deploy and manage AI services across cloud and on-prem environments.