AI Enablement Engineer: Internal Productivity Multiplier

artificial intelligence and robotics laboratory (itu air lab); Pittsburgh (Allegheny County); On-site; USD 130,000 - 210,000; Full time

Job summary

Air seeks an experienced AI Engineer to scale internal AI enablement across departments by deploying agents and workflows. This full-time role is based in Arlington, VA or Pittsburgh, PA and may require up to 25% travel.

You will leverage best-in-class AI tools to automate complex tasks and drive measurable improvements in productivity and cost efficiency. You’ll design and deploy agentic workflows, integrate LLMs, and ensure observability and reliability through telemetry, evaluation, and

Qualifications

• 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.
• 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).
• A strong desire to learn and investigate new technologies.
• Familiarity with Git source control management.
• Ability to work collaboratively with little supervision.
• A burning desire to work in a challenging fast-paced tech environment.

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

LLM frameworks

Agent frameworks

Observability

Ambiguity handling

Startup experience

Education

Bachelor’s/Master’s/Doctorate in CS/CE/DS

Tools

Claude Agent SDK

Google Anti-Gravity

OpenAI Agent SDK

AWS

GCP

Job description

Air seeks an experienced AI Engineer to scale internal AI enablement across departments by deploying agents and workflows. This full-time role is based in Arlington, VA or Pittsburgh, PA and may require up to 25% travel.

You will leverage best-in-class AI tools to automate complex tasks and drive measurable improvements in productivity and cost efficiency. You’ll design and deploy agentic workflows, integrate LLMs, and ensure observability and reliability through telemetry, evaluation, and