# AI Engineer, Internal Enablement & Productivity at AIR

- Company: AIR
- What the company does: AIR secures your agent fleet and filters every AI add-on before it enters your enterprise. Continuous vetting, governance, and runtime protection for safe AI adoption. Backed by Sequoia.
- Company website: https://www.air.security/
- Type: Startups (AI role)
- Level: Mid level
- Location: Pittsburgh, Pennsylvania, United States
- Work setup: On-site
- Posted: 2026-03-03
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/air/jobs/4163985009
- Page: https://www.1752.vc/careers/jobs/air-ai-engineer-internal-enablement-and-productivity/

## About the role

Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers.

## What they're looking for

- U.S. Citizenship is required
- Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Minimum 3 years of experience building and deploying ML or LLM-powered systems in production environments
- Practical experience in building, developing, and productionizing machine learning systems
- Advanced software skills in Python and other programming languages
- Experience with common LLM algorithms and implementations, including coding agents (e.g. Claude Code and GenAI coding best practices)

Tags: Data