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Customer Success Engineer

Mercor

About the job Mercor

connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include

Benchmark ,

General Catalyst ,

Peter Thiel ,

Adam D'Angelo ,

Larry Summers , and

Jack Dorsey . Position:

Customer Success Engineer (LatAm) Type:

Contract Compensation:

$35,000–$50,000/year Location:

Remote Commitment:

Substantial overlap with Pacific Time (PT/PST) Role 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 Must-Have Ability to debug web applications. 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 . Experience 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 modern

AI APIs

( OpenAI ,

Anthropic , etc.) or how agent frameworks ( LangChain ,

AutoGPT , etc.) function is a plus. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based on your resume Submit form Resources & Support For details about the interview process and platform information, please check: For any help or support, reach out to: Ver o e-mail no euspert.app PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vaga publicada Há 2 meses atrás

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