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Full Stack Developer - AI

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

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