Full Stack Developer - AI

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 USD \- $3,300 USD