Senior Applied AI Engineer
Core
Build and maintain infrastructure for AI agents to execute tasks reliably, manage memory/retrieval, and ensure production stability.
Role type
Senior Applied AI Engineer (Agent Infrastructure)
Builds
Agent orchestration systems, memory/retrieval systems, evaluation harnesses, and production reliability tools.
Domain
Artificial Intelligence / LLM Agents / Infrastructure
Deliverable
production ML models
Required skills
LLM agent development, Python, agent orchestration, memory and context retrieval, evaluation harness design, failure recovery, production system reliability
Preferred skills
Open-source agent tooling, LLM infrastructure experience
Technologies
Python, LLM frameworks, agent orchestration tools
Responsibilities
Build infrastructure for reliable agent task execution, design memory and retrieval systems for operational data, develop evaluation harnesses for production decisions, measure and improve agent system reliability, collaborate with customers on infrastructure and team growth
Seniority
Senior, hands-on IC
