AI-Savvy Customer Success Engineer (LatAm) Remote

mercor; San Francisco (CA); Hybrid; CLP 34,247,000 - 48,924,000; Full time

Job summary

Mercor is seeking a Customer Success Engineer (LatAm) to support enterprise clients remotely. You will troubleshoot end-to-end issues, reproduce bugs, and work across our AI+SaaS stack to ensure smooth user experiences.

The role requires a CS-related degree, 2–5 years of customer-facing experience with modern web apps, and comfort with AI systems and agents. This is a remote contract position with overlap in Pacific Time hours.

Qualifications

• Degree in Computer Science, Software Engineering, or related field.
• 2–5 years of experience supporting customers on modern web applications.
• Experience with web stacks: React, Node, Flask, Next.js or similar.
• Familiarity with AI systems, LLMs/agents and generative models.
• Ability to debug end-to-end web applications and understand model outputs.

Responsibilities

• Investigate talent-reported issues end-to-end and reproduce bugs.
• Debug across AI + SaaS stack using telemetry and logs to understand production behavior.
• Triage issues, escalate engineering problems, and provide user guidance.
• Surface systemic patterns and product risks to engineering and leadership.
• Create runbooks and documentation to reduce recurring issues.

Skills

Debug web apps

React

Node

Flask

Next.js

LLMs

AI systems

Agents

Prompt engineering

Education

CS degree or equivalent

Tools

OpenAI APIs

LangChain

Job description

Mercor is seeking a Customer Success Engineer (LatAm) to support enterprise clients remotely. You will troubleshoot end-to-end issues, reproduce bugs, and work across our AI+SaaS stack to ensure smooth user experiences.

The role requires a CS-related degree, 2–5 years of customer-facing experience with modern web apps, and comfort with AI systems and agents. This is a remote contract position with overlap in Pacific Time hours.