Customer Success Engineer (AI SaaS) – Remote

About the role

Mercor is looking for a Customer Success Engineer to support its AI SaaS platform for Latin American customers. This remote, contract position focuses on troubleshooting, guiding users, and ensuring a smooth experience with cutting‑edge generative AI tools.

Key responsibilities

• Investigate and resolve talent‑reported issues end‑to‑end, reproducing bugs and identifying root causes.
• Debug across the AI + SaaS stack using telemetry, logs, network inspection, and database queries.
• Tri­age issues, escalating true engineering problems while handling configuration or prompt‑related concerns directly.
• Surface systemic patterns and product risks for engineering and product leadership.
• Create clear documentation and runbooks to reduce repeat incidents.
• Communicate solutions with precision, professionalism, and empathy.

Required profile

• Ability to debug modern web applications.
• Degree in Computer Science, Software Engineering, or equivalent experience at a high‑growth tech startup.
• 2‑5 years supporting or building web applications (React, Node, Flask, Next.js, etc.).
• Comfortable working with AI systems, LLMs, agents, and generative models.
• Experience exploring AI tool behavior (fine‑tuning, prompt chains, chain‑of‑thought debugging).

Required skills

• React
• Node.js
• Flask
• Next.js
• Python
• OpenAI API
• Anthropic API
• LangChain
• AutoGPT

What we offer

• Contract compensation ranging from $35,000 to $50,000 per year.
• Fully remote work with substantial overlap with Pacific Time.
• Opportunity to work with cutting‑edge AI technologies and a fast‑growing team.