AI-Powered Salesforce Developer (Hybrid)

Leadout Capital; Ciudad de México; Hybrid; MXN 600,000 - 900,000; Full time

Job summary

Salesforce is seeking a Salesforce Developer in Mexico City with a hybrid work arrangement. You will design, build and optimize AI-enhanced Salesforce solutions using Apex, LWC, Aura and Flows.

You will integrate data, automate workflows, and contribute to secure, scalable systems while collaborating with global teams. The role focuses on embedding AI across the SDLC, improving code quality and accelerating delivery in a fast-paced environment.

Qualifications

• 4+ years of Salesforce development experience.
• Hands-on with Apex, LWC, Aura and Flows.
• Experience with Experience Cloud and integration patterns.
• Knowledge of CI/CD and DevOps practices.

Responsibilities

• Design and develop scalable solutions on the Salesforce platform.
• Write clean, efficient code using Apex and LWC.
• Leverage AI tools to enhance engineering productivity and code quality.
• Embed AI across the SDLC including development, testing and optimization.
• Participate in code reviews and maintain high engineering standards.
• Translate requirements into robust technical solutions.
• Debug complex issues across frontend and backend layers.
• Develop integrations, data migrations, and automation workflows.
• Ensure performance, scalability, and security of applications.
• Contribute to CI/CD pipelines and modern DevOps practices.

Skills

Salesforce development

Apex

LWC

Aura

Flows

AI-assisted development

CI/CD

DevOps

REST APIs

SOAP APIs

Asynchronous processing

Performance optimization

Security best practices

Problem solving

Collaboration

Education

Salesforce certifications

Tools

Experience Cloud

Job description

Salesforce is seeking a Salesforce Developer in Mexico City with a hybrid work arrangement. You will design, build and optimize AI-enhanced Salesforce solutions using Apex, LWC, Aura and Flows.

You will integrate data, automate workflows, and contribute to secure, scalable systems while collaborating with global teams. The role focuses on embedding AI across the SDLC, improving code quality and accelerating delivery in a fast-paced environment.