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.
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 1 year 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
- Experience with common LLM algorithms and implementations
More about this 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. 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.
We are seeking an experienced AI Engineer to join our Agentic AI team as we scale our agentic offerings across all levels of the US government. Over the past year, we have seen the rapid adoption of our agent, Ace. We expect Ace to be handling much more complex tasks and workflows end-to-end or in cooperation with a human user as time goes on. The team is striving to make Ace an even more effective agent, focusing on planning, reliable execution over longer time horizon tasks, scaled tool use, Ace Skills, memory, and inter-agent coordination.
In order to do this job well, we are looking...
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