Remote Ai Engineer — Llms, Rag & Azure (Latam)

Workana Llc; Santiago; À distance; CLP 33 816 000 - 48 309 000; Plein temps

Résumé du poste

Mercor connects elite creative and technical talent with leading AI research labs. The Customer Success Engineer (LatAm) role is a remote contract position supporting a diverse set of customers across the LatAm region.

You will debug web applications, work with AI systems, and collaborate with product and engineering teams to ensure successful adoption of the AI SaaS platform. The role requires 2–5 years of customer-facing experience, a CS-related degree, and familiarity with web tech

Qualifications

• Ability to debug web applications.
• Degree in CS or related field from a top-tier institution or startup experience.
• Experience building modern web applications (React, Node, Flask, Next.js).
• 2–5 years of experience supporting customers on such web applications.
• Comfortable with AI systems, including LLMs and agents.
• Experience exploring behavior of AI tools (fine-tuning, prompts).
• Ability to understand model outputs, failure modes, hallucinations, and feedback loops.

Responsabilités

• Investigate talent-reported issues end-to-end. Reproduce bugs and identify root causes.
• Debug across our AI + SaaS stack using telemetry, logs, network inspection, and DB queries.
• Triage with sound judgment; escalate true engineering issues or guide users.
• Surface systemic patterns and product risks to engineering and leadership.
• Create clear documentation and runbooks to reduce repeats and speed resolution.
• Communicate with precision, professionalism, and empathy.

Connaissances

Debug web applications

AI systems familiarity

Customer support experience

Understanding model outputs and issues

Formation

Degree in CS or related field

Outils

React

Node.js

Flask

Next.js

LangChain

AutoGPT

Description du poste

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
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.).
• 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.

Preferred

• Familiarity with how modern AI APIs work (OpenAI , Anthropic , etc.) or how agent frameworks (LangChain , AutoGPT , etc.) function.

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: