Generative Ai Engineer - (Azure)

Imagemaker; Santiago; Remote; CLP 34,347,000 - 49,068,000; Full time

Job summary

Mercor is seeking a Customer Success Engineer (LatAm) for a remote contract role. You will debug and support modern web applications built with React, Node, Flask, and Next.js while working closely with AI systems and generative models.

Ideal candidates have 2–5 years of experience helping customers on such applications, and a degree in CS or Software Engineering. Strong communication and problem-solving are essential for success in this role.

Qualifications

• Degree in Computer Science, Software Engineering or related field.
• Experience building modern web apps using React/Node/Flask/Next.js.
• 2–5 years supporting customers on modern web applications.

Responsibilities

• Investigate talent-reported issues end-to-end; reproduce bugs and identify root causes.
• Debug across AI+SaaS stack using telemetry, logs, network inspection, and queries to understand production behavior.
• Triage issues, escalate true engineering problems and resolve others via config, prompts, or user guidance.
• Surface product risks to engineering and leadership; create clear runbooks and docs.
• Communicate with precision, professionalism, and empathy.
• Collaborate with teams to reduce repeat issues and speed resolutions.

Skills

Debug web apps

BS CS / Software Eng

React

Node

Flask

Next.js

Customer support

AI systems / LLMs

Prompting & debugging

Model failure analysis

Education

Degree in Computer Science or Software Engineering

Tools

React

Node

Flask

Next.js

Job description

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.