Air
Senior AI Engineer, Agentic Interactions
Pittsburgh, Pennsylvania, United States · Senior · Full-time
No sponsorshipDetected 11 days ago
PythonAlgorithmsGitAWSCloud PlatformsMachine LearningData ScienceLLMsAgentic AICybersecurityProduct ManagementManual Testing
About the role
- Company Description Air is the leader in Enterprise Readiness.
- Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered.
- By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Requirements
- U.S. Citizenship is required
- Experience designing and deploying complex agentic systems using LLMs
Skills
- Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field
- Advanced software skills in Python
- Experience with common LLM algorithms and implementations
- Hands-on experience with AWS and cloud infrastructure
- 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
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Comfortable with Claude Code and GenAI coding best practices.
- Air is an Equal Opportunity Employer.
Company info
- Company Description
- Air is the leader in Enterprise Readiness.
- Our mission is to establish readiness as a real-time condition that is continuously achieved.
- Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers.
Visa & Work Authorization
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
This listing is sourced directly from Air's careers page and normalized into a canonical job model.