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

📋 Description

• Ensure a seamless and enjoyable experience for users applying to job postings, participating in AI-driven interviews, accepting offers, and receiving payments.

• Provide rapid assistance to users facing issues or who have inquiries.

• Conduct thorough investigations of user-reported problems by replicating bugs, identifying root causes, and clarifying UX obstacles, model edge cases, and system flaws.

• Debug across the AI and SaaS platforms utilizing telemetry, logs, network analysis, and database queries.

• Triage issues, escalating engineering challenges while resolving others through configuration adjustments, prompt enhancements, or clear user instructions.

• Identify systemic trends and product risks to share with 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 similar technical discipline from a prestigious institution, or relevant experience at a fast-paced technology startup.

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

• Comfortable working 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 interpret model outputs, recognize failure modes, hallucinations, and feedback loops.

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

• Native-level proficiency in English writing.

• Must currently reside in Latin America.

• Availability for a 6-day work week with significant overlap with Pacific Time (PT/PST) hours.