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Full Stack Developer - AI & Automation Focus at Enumerate. . Location: Latin America - Remote. Enumerate is hiring a Full Stack Engineer to join our AI Pod. This pod is focused on building and shipping AI-powered product features end-to-end, from user experience through backend services and integrations. This role works closely with the AI Pod Tech Lead, Product Management, and data/ML partners to rapidly prototype, iterate, and productionize AI solutions that deliver clear user and business value.. . This is a highly hands-on role for engineers who thrive in . product-driven environments. , move quickly, and are comfortable working alongside AI models, APIs, and data-rich systems..  . . This is a remote opportunity. We are seeking contractors located in LATAM who are comfortable working in an English-speaking professional environment.. . Key Responsibilities.  . . End-to-End Feature Development.  . . . Design and implement user-facing AI features across frontend and backend systems..  . . . . Build and evolve APIs and services that integrate AI models, data pipelines, and product workflows..  . . . . Translate product requirements and UX designs into high-quality, maintainable code..  . . . . Rapidly prototype and iterate on AI-driven experiences based on user feedback and experimentation results..  . . . Frontend & UX Integration.  . . . Implement intuitive user interfaces that expose AI capabilities clearly and responsibly..  . . . . Collaborate with Product and Design to shape AI interactions, prompts, and workflows..  . . . . Handle edge cases, fallbacks, and user feedback when AI outputs are uncertain or degraded..  . . . . Ensure UI performance, accessibility, and responsiveness..  . . . Backend & Integration.  . . . Develop backend services that orchestrate AI calls, business logic, and data access..  . . . . Integrate with internal APIs, data services, and third-party AI platforms..  . . . . Implement secure, scalable request handling, including latency and cost considerations for AI usage..  . . . . Support feature flags, configuration, and experimentation frameworks..  . . . Quality, Reliability & Observability.  . . . Write automated tests across frontend and backend components..  . . . . Implement logging, monitoring, and basic performance tracking for AI-enabled features..  . . . . Participate in code reviews and adhere to team engineering standards..  . . . . Help diagnose and resolve production issues related to AI behavior, data, or integrations..  . . . Collaboration & Learning.  . . . Work closely with the AI Pod Tech Lead to execute technical designs and standards..  . . . . Partner with data scientists and ML engineers to integrate models into product features..  . . . . Contribute ideas for improving AI usability, reliability, and developer productivity..  . . Share learnings and patterns across the AI Pod..  . . . Required Qualifications.  . . . BS or equivalent experience in Computer Science, Engineering, or related field..  . . . . 4+ years of experience building full stack web applications..  . . . . Proficiency in modern frontend frameworks (e.g., React, Vue, or similar)..  . . . . Strong backend experience with at least one language such as Python, Node.js, Java, or Go..  . . . . Experience building and consuming REST or GraphQL APIs..  . . . . Familiarity with cloud environments (AWS, GCP, or Azure)..  . . Solid understanding of web application security and performance..  . . . Preferred Qualifications.  . . . Experience building AI-powered or data-driven product features..  . . . . Familiarity with LLM APIs, prompt design, or AI agent workflows..  . . . . Experience working with experimentation platforms, feature flags, or A/B testing..  . . . . Exposure to data pipelines or analytics tooling..  . . Comfort working in fast-moving, iterative product teams..  . . . What Success Looks Like.  . . . AI-powered features ship quickly and improve real user workflows..  . . . . Frontend and backend components are clean, reliable, and easy to evolve..  . . . . AI interactions feel intuitive, trustworthy, and well-integrated into the product..  . . . . The AI Pod delivers visible product impact with strong engineering quality..  . . . . The engineer grows into a trusted contributor and collaborator within the pod..  . . .  . Total monthly compensation:. $3,000. - . $3,300. . USD