Senior AI Engineer
Core
Design and build production-grade agentic AI systems, agent architectures, and infrastructure to solve complex real-world problems for government agencies.
Role type
Senior IC agentic AI engineer
Builds
Production agentic AI systems, agent runtimes, tool execution environments, and scalable inference services
Domain
Government / Agentic AI / Distributed Systems
Deliverable
production ML models
Required skills
Python, agent architecture design, LLM inference and context engineering, distributed systems, Kubernetes, AWS/GCP/Azure, API design, automated evaluation frameworks, observability, debugging complex failures
Preferred skills
Security clearance, multi-agent architectures, fine-tuning and reinforcement learning, secure code execution environments, AI security and adversarial testing
Technologies
Python, Kubernetes, AWS, GCP, Azure, LLMs
Responsibilities
Design agent architectures for reasoning, planning, and multi-step task execution; Build tools for agents to securely interact with data, APIs, and external systems; Develop model and inference infrastructure supporting multiple language models; Build automated evaluation frameworks to measure agent quality and reliability; Optimize systems for latency, throughput, and cost; Translate emerging AI research into production improvements
Seniority
Senior, hands-on IC