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Raccoon AI

Enterprise AI solutions for customer service

Production Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeTaipei City, TaiwanNo salary listedHybrid

About the Job

Requirements

  • At least 3 years of experience in Backend, Full-stack, or Production Engineering.
  • Familiarity with at least one backend technology stack, such as Ruby on Rails, Python, or Node.js.
  • Strong debugging ability, including quickly reading unfamiliar codebases and locating problems.
  • Familiarity with SQL and the ability to independently investigate production database issues.
  • Familiarity with REST APIs, webhooks, and third-party API integrations in common SaaS architectures.
  • Familiarity with production debugging tools such as logs, monitoring, and error tracking.
  • Understanding of HTTP, networks, databases, queues, and caches.
  • Ability to organize incomplete information, form hypotheses, and systematically investigate issues.
  • Interest in production reliability, incident handling, and root cause analysis.
  • Ability to collaborate across roles and clearly explain issue scope, impact, and progress.

Responsibilities

  • Perform engineering triage, debugging, and issue diagnosis for SaaS production issues.
  • Prioritize incidents according to SLA and severity, and help restore service quickly.
  • Review application logs, databases, API requests, queues, and monitoring data to identify root causes.
  • Reproduce customer-reported issues and determine whether they stem from product bugs, data problems, third-party service disruptions, or infrastructure issues.
  • Implement hotfixes, test them, and release fixes for application bugs that can be handled directly.
  • Escalate issues requiring deeper domain knowledge to the appropriate Feature Engineer with complete technical information.
  • Help handle issues involving Rails applications, Python AI backends, API integrations, and third-party services.
  • Create and maintain incident runbooks, debugging tools, monitoring, and alerting.
  • Analyze recurring incidents, identify systemic problems, and drive improvements.
  • Collaborate with Customer Success, Product Management, and Research and Development to establish clear incident response and escalation processes.
  • Participate in postmortems to reduce recurrence of production issues.
  • Respond to production incidents quickly, reduce mean time to recovery and SLA violations, eliminate root causes of recurring issues, and reduce interruptions to Feature Engineers.

Desired Qualifications

  • Ruby on Rails or Python production experience.
  • Experience with AWS, GCP, Kubernetes, or Docker.
  • Familiarity with PostgreSQL, Redis, and message queues.
  • Experience with Datadog, Grafana, Sentry, CloudWatch, or similar observability tools.
  • Experience in SaaS, B2B enterprise services, or SLA environments.
  • On-call, incident response, or postmortem experience.
  • Production experience with AI or large language model applications.
  • Experience handling high-traffic APIs, distributed systems, or third-party integration issues.

About the Company

Raccoon AI

Enterprise AI solutions for customer service

Raccoon AI provides enterprise AI solutions that integrate with existing systems to boost efficiency for B2B clients in Asia. Its three core products are Raccoon AI Service, which automates multi-channel customer service workflows; Raccoon AI GEO, which turns first-party conversation data into AI-ready content to improve generative AI search visibility; and Raccoon AI Crew, which offers internal AI employees for Q&A, SOP lookups, data organization, and cross-functional collaboration. The company differentiates itself by combining external customer-service automation with internal knowledge management and data-driven collaboration, backed by James Chou’s experience and an extensive regional client base. Its goal is to help organizations increase lead conversion, streamline customer support, and improve internal operations by turning conversations and knowledge into actionable outcomes.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Taipei, Taiwan
Founded
2020

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