Senior Platform Engineer — Remote, AI-Native Cloud & GenAI

Caylent; United States; Remote; MXN 900,000 - 1,200,000; Full time

Benefits offered by this job

Remote work

Medical Insurance

Phantom equity

Exams & certifications

Peer bonus awards

Laptop & tools

Equipment stipend

Learning stipend

Professional development

Global team

Job summary

Caylent is seeking a hands-on engineer to build and extend our internal AI-native platform. You will tackle GenAI tooling on AWS Bedrock, create scalable backend services in Python, and contribute to frontend interfaces in React/Vite.

You will collaborate with a distributed team across time zones to automate internal workflows and improve operational efficiency. Ideal candidates have GenAI experience, cloud-native deployment skills, and a passion for building robust developer tools.

Qualifications

• Experience developing Generative AI solutions end-to-end.
• Proficiency in Python for backend development.
• Experience deploying and managing services in a cloud-native environment.
• Experience with frontend development (React/Vite) for building user interfaces.

Responsibilities

• Design and implement backend solutions for core services using Python and Terraform.
• Build and extend GenAI/agentic solutions (RAG, tool-calling agents, evaluation loops) on AWS Bedrock as part of our platform stack.
• Contribute to frontend interfaces (React/Vite) for the tools and platforms you help build.
• Optimize and maintain cloud native applications with a focus on scalability, performance, and reliability.
• Collaborate with other engineers and stakeholders to drive the development of tools that enhance process efficiency and automate repetitive tasks.
• Contribute to service enhancements, ensuring alignment with business objectives and technical best practices.

Skills

Generative AI

Python

Cloud-native architecture

DevOps

React

Tools

Terraform

AWS Bedrock

Vite

Job description

Caylent is seeking a hands-on engineer to build and extend our internal AI-native platform. You will tackle GenAI tooling on AWS Bedrock, create scalable backend services in Python, and contribute to frontend interfaces in React/Vite.

You will collaborate with a distributed team across time zones to automate internal workflows and improve operational efficiency. Ideal candidates have GenAI experience, cloud-native deployment skills, and a passion for building robust developer tools.