Applied AI Engineer
Core
Build agentic infrastructure enabling AI agents to execute tasks reliably, retain long-term context, and manage human-in-the-loop interactions.
Role type
Founding Applied AI Engineer (Agentic Infrastructure)
Builds
Production-ready AI agent systems with memory, orchestration, and evaluation capabilities
Domain
Artificial Intelligence / Agentic Systems / Infrastructure
Deliverable
production ML models
Required skills
LLM agent development, Python (production systems), agent memory management, context retrieval, agent orchestration, failure recovery patterns, eval harness design
Preferred skills
Open-source agent tooling contributions, human-in-the-loop workflow implementation, founding/leading technical projects
Technologies
Python, LLM frameworks, orchestration tools
Responsibilities
Build core infrastructure for reliable agent execution, design memory systems for long-term context retention, develop trusted evaluation harnesses, own the full build-measure-fix loop for agent systems, ship systems to customers and iterate based on feedback
Seniority
Founding, hands-on IC