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Key Responsibilities:
- Design, build, and improve production agentic AI systems for complex real-world problems.
- Develop agent architectures, model integrations, and evaluation frameworks.
- Build scalable APIs, services, and infrastructure for AI execution.
Required Skills:
- 5+ years of experience building production software or AI/ML systems.
- Deep experience with production AI agents, Python, and distributed systems.
- Strong understanding of LLMs, agent architectures, and evaluation systems.
Desired Skills:
- Experience with secure code execution, multi-agent architectures, or fine-tuning.
- Background in AI observability, inference optimization, or government/defense.
- Startup experience or ability to work in a fast-paced, evolving environment.
Air
Air is the leader in Enterprise Readiness, providing an AI-native platform to align development, production, delivery, and sustainment for government agencies and industrial suppliers. The company is a startup with a focus on mission-driven work and innovation.