Applied AI and Agent Systems Engineer (Part-Time)
Core
Build reasoning systems, agent behaviors, and retrieval workflows that turn complex business context into defensible decisions and artifacts for a strategy platform.
Role type
Applied AI and Agent Systems Engineer (Part-Time/Fractional)
Builds
Agent architecture, evaluation systems, and production-ready reasoning workflows for an AI-native strategy platform.
Domain
AI/LLM systems, agent workflows, information retrieval, and business strategy.
Deliverable
production ML models
Required skills
LLM and agent system design, retrieval and context grounding, evaluation framework design, reliability and observability, structured output generation, tool use orchestration
Preferred skills
Experience in applied AI or machine learning engineering, background in developer tools or workflow automation, understanding of business decision-making processes
Technologies
LLMs, retrieval systems, agent frameworks, observability tools
Responsibilities
Design systems that decompose ambiguous business questions and produce structured outputs; Improve retrieval of customer information and domain knowledge; Build datasets, rubrics, and automated checks to measure system usefulness; Diagnose model, prompt, and orchestration failures; Partner with product to integrate AI capabilities into user workflows
Seniority
Senior, hands-on IC
