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. 

 

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.