This is a fully remote position, open to applicants in Latin America.

📋 Description

• Deliver an exceptional end-to-end experience for users as they apply to listings, participate in AI-driven interviews, accept offers, and receive payments.

• Offer prompt support for user inquiries and issues.

• Thoroughly investigate talent-reported problems from start to finish by reproducing bugs, identifying root causes, and distinguishing between UX friction, model edge cases, and system defects.

• Perform debugging across the AI and SaaS stack utilizing telemetry, logs, network inspection, and database queries.

• Triage issues by escalating engineering-related problems while resolving others through configuration adjustments, prompt refinement, or user guidance.

• Highlight systemic patterns and product risks to engineering and product leadership.

• Develop documentation and runbooks to minimize recurring issues and enhance resolution speed.

• Communicate clearly, professionally, and with empathy.

• Collaborate directly with the engineering team.

⛳️ Requirements

• Must be currently residing in Latin America; applicants from outside this region will not be considered.

• Proficient in debugging web applications.

• A degree in Computer Science, Software Engineering, or a related technical field from a prestigious institution, or equivalent experience at a high-growth technology startup.

• Experience in building modern web applications (React, Node, Flask, Next.js, etc.) or 2–5 years of experience providing support for such applications.

• Comfortable working with AI systems, including LLMs, agents, or generative models.

• Experience in exploring AI tool behavior, including fine-tuning, prompt chains, chain-of-thought debugging, or building agents.

• Ability to comprehend model outputs, failure modes, hallucinations, and feedback loops.

• Familiarity with contemporary AI APIs (OpenAI, Anthropic, etc.) or agent frameworks (LangChain, AutoGPT, etc.) is advantageous.

• Native-level proficiency in English writing.

• Willingness to work with substantial overlap with Pacific Time (PT/PST) working hours.