Key Responsibilities

Investigate talent-reported issues end-to-end: reproduce bugs, identify root causes, and separate UX friction, model edge cases, and system defects.
Debug across our AI + SaaS stack using telemetry, logs, network inspection, and database queries to understand production behavior.
Triage with sound judgment — escalate true engineering issues and resolve others via configuration, prompt refinement, or clear user guidance.
Surface systemic patterns and product risks to engineering and product leadership.
Create clear documentation and runbooks to reduce repeat issues and improve resolution speed.
Communicate with precision, professionalism, and empathy.

Qualifications

Degree in Computer Science, Software Engineering, or a related technical field from a top-tier institution or prior experience at a high-growth technology startup.
Experience building modern web applications (React, Node, Flask, Next.js, etc.) OR
2-5 years of experience supporting customers on such web applications.
Comfortable with AI systems — you’ve played with LLMs, agents, or generative models.
Experience exploring behavior of AI tools (fine-tuning, prompt chains, chain-of-thought debugging, or building agents).
Ability to understand model outputs, failure modes, hallucinations, and feedback loops.
Familiarity with how modern AI APIs work (OpenAI, Anthropic, etc.) or how agent frameworks (LangChain, AutoGPT, etc.) function is a plus.