Software Engineering Mts

Salesforce Salesforce · Enterprise · Mexico City, Mexico

This role focuses on developing internal technology solutions on the Salesforce platform, with a strong emphasis on integrating AI agents into human workflows and using AI tools within the development process. The candidate will design, develop, test, and enhance applications, collaborate with stakeholders, and critically evaluate AI-generated code. While AI is a core part of the workflow and agent integration is key, the primary deliverable is still within the Salesforce platform, suggesting an applied AI engineering role.

What you'd actually do

  1. Design, develop, test, and deploy scalable applications on the Salesforce platform (Sales Cloud, Service Cloud, and Force.com).
  2. Write efficient, maintainable, and reusable Apex, Lightning, and Visualforce code.
  3. Integrate quality engineering best practices, including automated testing, code quality enforcement, and environment management using Git, Jenkins, SFDX, and Salesforce CLI.
  4. Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
  5. Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

Skills

Required

  • 4+ years of experience in Information Technology and Software Engineering.
  • 2+ years of hands-on experience with Force.com, Apex, Lightning, and Visualforce development.
  • 2+ years of experience in Java, JavaScript, and HTML.
  • Strong understanding of SOQL, SOSL, and core Salesforce products (Sales Cloud, Service Cloud, Force.com).
  • Experience developing test strategies, executing tests, and maintaining test automation frameworks for large enterprise projects.
  • Familiarity with database concepts and data modeling.
  • A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Nice to have

  • Salesforce Admin and/or Developer Certification.
  • Experience working in an Agile development environment.
  • Strong understanding of the Software Development Life Cycle (SDLC).
  • Experience with Test-driven Development (TDD) and Continuous Integration (CI) processes.
  • Understanding of Software-as-a-Service (SaaS) principles.
  • Strong analytical and problem-solving skills.
  • Ability to work independently, take ownership of projects, and manage multiple priorities in a fast-paced environment.

What the JD emphasized

  • AI agents integrate seamlessly into human workflows
  • Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Other signals

  • AI agents integrate seamlessly into human workflows
  • AI as a core part of your development workflow
  • Critically evaluate code (human or AI-generated)