AI/LLM Platform Engineer II — AI Infra & Orchestration

Sierra Nevada Corporation; Englewood (CO); Hybrid; USD 108,000 - 149,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401(k) with 150% match up to 6%

3 weeks paid time off

Tuition reimbursement

Job summary

Sierra Nevada Corporation in Colorado invites applications for an AI/ML Engineer II. The role focuses on designing and deploying ML solutions for autonomous systems, predictive maintenance, and computer vision.

You will own projects, analyze data, and optimize models for performance and scalability, collaborating with multidisciplinary teams on mission-critical objectives. The position requires strong technical skills, problem-solving ability, and a willingness to work in a hybrid environment

Qualifications

• Bachelor’s degree in computer science, mathematics, applied statistics, engineering, or related STEM field.
• 2+ years in the field; related experience may substitute for degree.
• Experience building and operating APIs at scale in cloud environments (AWS, Azure, GCP).
• Hands-on experience with at least one major LLM provider (OpenAI, Anthropic, Cohere, Mistral, etc.).

Responsibilities

• Design, implement, and optimize platform services (LLM gateway, routing, orchestration).
• Develop integrations connecting LLMs to enterprise systems and data sources.
• Conduct performance testing and validate platform services and prompt evaluation frameworks.
• Maintain reliability, cost, and scalability; write modular code for AI integration.
• Collaborate with Forward Deployed AI team and platform architects to align with requirements.

Skills

Python

TypeScript

Go

Education

Bachelor’s degree in CS/Math/Engineering

Tools

Docker

Kubernetes

GitOps

Job description

Sierra Nevada Corporation in Colorado invites applications for an AI/ML Engineer II. The role focuses on designing and deploying ML solutions for autonomous systems, predictive maintenance, and computer vision.

You will own projects, analyze data, and optimize models for performance and scalability, collaborating with multidisciplinary teams on mission-critical objectives. The position requires strong technical skills, problem-solving ability, and a willingness to work in a hybrid environment