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

📋 Description

• Ensure a seamless and enjoyable experience for users throughout the process of applying to listings, participating in AI-led interviews, accepting job offers, and receiving payment.

• Respond promptly and effectively to user inquiries and issues.

• Conduct thorough investigations of talent-reported issues by reproducing bugs, identifying root causes, and distinguishing between UX friction, model edge cases, and system defects.

• Debug the AI and SaaS stack utilizing telemetry, logs, network inspection, and database queries.

• Triage issues, escalate engineering challenges, and resolve others through configuration adjustments, prompt refinements, or user guidance.

• Identify systemic patterns and product risks for engineering and product leadership.

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

• Communicate with clarity, professionalism, and empathy.

• Collaborate directly with the engineering team.

⛳️ Requirements

• Proficient in debugging web applications.

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

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

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

• Experience in analyzing AI tool behavior, including fine-tuning, prompt chaining, chain-of-thought debugging, or agent development.

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

• Familiarity with contemporary AI APIs like OpenAI and Anthropic, or agent frameworks such as LangChain and AutoGPT is advantageous.

• Native-level proficiency in English writing.

• Must currently reside in Latin America.

• Availability to work 6 days per week with significant overlap with Pacific Time (PT/PST) working hours.