AIR is a NYC-based company that offers an AI-powered credit intelligence platform for proactively identifying and rating credit risk.
<div class="section page-centered" data-qa="job-description"> <h2><strong>Company Description</strong></h2> <div>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.</div> <h2><strong>Job Description</strong></h2> <div> <p>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 interact with all Air interfaces in an agentic manner 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.</p> <p>In order to do this job well, we are looking for someone who can demonstrate a project built on LLMs that showcases your skill at getting them to interact with frontend interfaces agentically.</p> <p>Experience designing front-end architectures with explicit state and action models suitable for AI-driven interaction (agent-controlled UI, tool invocation, and deterministic workflows).</p> <ul> <li>Experience integrating and working with LLMs, with a strong understanding of their capabilities and limitations</li> <li>Experience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK</li> <li>Experience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).</li> <li>Experience working in highly ambiguous environments, and operate with urgency</li> <li>Startup experience, particularly in scaling products from zero to one</li> </ul> <p>Strong Candidates have:</p> <ul> <li>Experience designing and deploying complex agentic systems using LLMs</li> <li>Hands-on work with multi-agent coordination, routing, and tool orchestration</li> <li>Love coding agents</li> </ul> <p>This role is a full-time position located out of our office in Pittsburgh, PA. </p> <p>This role may require up to 10% travel</p> </div> </div> <div class="section page-centered"> <h3>Scope of Responsibilities</h3> <ul> <li>Designs and builds multi-agent systems with tool use, memory, routing, and planning</li> <li>Develops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing</li> <li>Assist with automated evaluation of agents, skills, and prompts across the entire product lifecycle</li> <li>Work with our Product and Implementation organizations to find solutions to our most vexing challenges applying agents to our customer problems</li> </ul> </div> <div class="section page-centered"> <h3>Qualifications</h3> <ul> <li>U.S. Citizenship is required</li> </ul> <div><strong><u>Required Skills: </u></strong></div> <div> <ul> <li>Bachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field</li> <li>5+ years of progressive experience designing, building, and deploying production-grade machine learning or LLM-powered systems, with demonstrated ownership of end-to-end delivery</li> <li>Practical experience in building, developing, and productionizing machine learning systems</li> <li>Advanced software skills in Python</li> <li>Experience with common LLM algorithms and implementations</li> <li>Hands-on experience with AWS and cloud infrastructure</li> <li>A strong desire to learn and investigate new technologies</li> <li>Familiarity with Git source control management</li> <li>Ability to work collaboratively with little supervision</li> <li>A burning desire to work in a challenging fast-paced tech environment</li> </ul> </div> <p><strong><u>Desired Skills: </u></strong></p> <ul> <li>Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship</li> <li>Experience in or exposure to the nuances of a startup or other entrepreneurial environment</li> <li>Comfortable with Claude Code and GenAI coding best practices.</li> </ul> </div> <div class="section page-centered" data-qa="closing-description"> <div>We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.</div> <div> </div> <div><strong>Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.</strong></div> </div>