{"id":198458,"url":"https://alion.io/job/air-ai-engineer","title":"AI Engineer","company":{"id":22985,"name":"Air","domain":"air.ai","url":"https://alion.io/company/air-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":32,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":253,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pittsburgh, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":96000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":370},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Claude","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"Claude Code","optional":true}],"status":"live","first_seen_at":"2026-06-10T01:19:24Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T06:23:23Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":134},"description":"Company Description\nAir 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.\nJob Description\nWe 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. \nIn 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 do complex tasks.\nExperience integrating and working with LLMs, with a strong understanding of their capabilities and limitations\nExperience integrating and working with agent frameworks like Claude Agent SDK or OpenAI Agent SDK\nExperience building observability, evaluation, and feedback loops for agent behavior (telemetry, prompt evaluation, regression testing, and reliability metrics).\nExperience working in highly ambiguous environments, and operate with urgency\nStartup experience, particularly in scaling products from zero to one\nStrong Candidates have:\nExperience designing and deploying complex agentic systems using LLMs\nHands-on work with multi-agent coordination, routing, and tool orchestration\nLove coding agents\nThis role is a full-time position located out of our office in Pittsburgh, PA. \nThis role may require up to 25% travel\nScope of Responsibilities\nDesigns and builds multi-agent systems with tool use, memory, routing, and planning\nDevelops Agent Skills and tools as modular, composable services that interact with backend systems, models, and data processing\nOwn the technical architecture and engineering standards for agentic systems, ensuring scalability, reliability, and maintainability\nAssist with automated evaluation of agents, skills, and prompts across the entire product lifecycle\nWork with our Product and Implementation organizations to find solutions to our most vexing challenges, applying agents to our customer problems\nQualifications\nU.S. Citizenship is required\nRequired Skills: \nBachelor's, Master’s, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field\nMinimum 1 year of experience building and deploying ML or LLM-powered systems in production environments\nPractical experience in building, developing, and productionizing machine learning systems\nAdvanced software skills in Python\nExperience with common LLM algorithms and implementations\nHands-on experience with AWS and cloud infrastructure\nA strong desire to learn and investigate new technologies\nFamiliarity with Git source control management\nAbility to work collaboratively with little supervision\nA burning desire to work in a challenging, fast-paced tech environment\nDesired Skills: \nCurrent possession of a U.S. security clearance, or the ability to obtain one with our sponsorship\nExperience in or exposure to the nuances of a startup or other entrepreneurial environment\nComfortable with Claude Code and GenAI coding best practices.\nWe 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.\nAir is an Equal Opportunity Employer. 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