Senior AI Engineer at Air

Department: AI

Setup: Remote
Location: Virginia · Pittsburgh, Pennsylvania
Type: Full-time
Level: senior
Posted: Sep 8, 2026

Description

Air is hiring a Senior AI Engineer for its Agentic AI team to design and build production-grade AI agent systems, agent architectures, tool integrations, model and inference infrastructure, evaluation frameworks, APIs, and scalable distributed services. The role spans experimentation, production deployment, observability, failure investigation, and optimization across language models and complex workflows. It is a full-time position based in Pittsburgh, Pennsylvania, with remote opportunities and up to 25% travel to Pittsburgh and Arlington, Virginia. U.S. citizenship is required, and the role requires at least five years of experience building production software, AI/ML systems, distributed systems, or similar technical systems.

Required Skills

AI agents
Python
Kubernetes
AWS
Distributed systems
Context engineering
Evaluation systems
Observability

Additional Information

Required Previous Experiences: 5+ years of experience building production software, AI/ML systems, distributed systems, or similar technical systems
Deep experience designing, building, and operating production AI agents or agent platforms
Experience developing core agent infrastructure, including agent runtimes, tool execution, context management, memory, orchestration, or related platform capabilities
Experience designing agents that use tools, reason across multi-step tasks, interact with external systems, and operate over long-running or complex workflows
Experience building evaluation systems for agents, including task-level evaluations, behavioral evaluations, regression testing, and production quality measurement
Strong programming experience in Python and experience building production-quality software
Experience designing scalable APIs, services, asynchronous systems, and event-driven architectures
Experience operating production services using Kubernetes and cloud platforms such as AWS, GCP, or Azure
Strong understanding of distributed systems, containers, service orchestration, networking, storage, and scalable architectures
Preferred Qualifications: Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship
Experience in or exposure to a startup or entrepreneurial environment
Experience building secure code execution environments or sandboxes for AI agents
Experience with multi-agent architectures, agent-to-agent communication, or distributed agent execution
Experience with fine-tuning, post-training, reinforcement learning, or synthetic data generation
Experience building AI observability, tracing, and debugging infrastructure
Experience optimizing inference latency, throughput, GPU utilization, or model-serving costs
Experience with AI security, adversarial testing, or securing agentic systems
Experience working in government, defense, or other mission-critical environments
Translation Company Name: Air