AI Enablement Engineer for Internal Productivity

Air; Pittsburgh (Allegheny County); On-site; USD 120,000 - 190,000; Full time

Job summary

Air is seeking an experienced AI Engineer to join the AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency by scaling AI integrations and agentic workflows. You will design and deploy agents to handle complex tasks, driving measurable improvements across product, engineering, operations, and customer success.

This full-time role based in Arlington, VA or Pittsburgh, PA may involve up to 25% travel and will lead the internal AI Enablement

Qualifications

• 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).
• Hands-on experience with cloud infrastructure (e.g. AWS, GCP).

Responsibilities

• Designs and builds multi-agent systems with tool use, memory, routing, and planning to automate internal business processes and enhance employee capabilities.
• Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing to increase internal team velocity.
• Contribute to the technical architecture and engineering standards for internal agentic systems, ensuring scalability, reliability, and maintainability across the organization.
• Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle to ensure reliable internal tools.
• Partner with internal Product, Engineering, GTM, and Operations teams to identify and implement AI-driven solutions to optimize their workflows and reduce operational costs.

Skills

Python

LLM/AI implementation

Cloud infrastructure

Git

Multi-agent systems

Education

Bachelor's degree

Master’s or Doctorate (preferred)

Tools

AWS

GCP

Job description

Air is seeking an experienced AI Engineer to join the AI Enablement team, focused on rapidly increasing internal employee productivity and operational efficiency by scaling AI integrations and agentic workflows. You will design and deploy agents to handle complex tasks, driving measurable improvements across product, engineering, operations, and customer success.

This full-time role based in Arlington, VA or Pittsburgh, PA may involve up to 25% travel and will lead the internal AI Enablement