AI Developer Productivity Engineer

Salesforce

Buenos Aires

Hybrid

ARS 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

Salesforce in Buenos Aires is seeking a Software Engineer, AI Developer Productivity (MTS) to help engineers build AI-assisted development tools and platforms. You'll work on full-stack features across desktop apps, APIs, data pipelines, and dashboards.

You will collaborate with senior engineers, own features end-to-end, and focus on observability, security, and performance while advancing AI-first workflows. A related technical degree is required and 3+ years of production software experience.

Qualifications

3+ years of professional experience building production software, including full-stack apps or internal platforms.
Strong programming fundamentals and ability to work across frontend, backend, APIs, data stores, and services.
Experience delivering features through design, implementation, testing, rollout, and production ownership.
An understanding of data structures, API design, automated testing, source control, CI/CD, and secure software development practices.
Ability to debug technical issues, use logs and metrics to understand system behavior, and make thoughtful tradeoffs with guidance when appropriate.

Responsibilities

Design, implement, test, and ship well-scoped full-stack features across internal developer-productivity products, including desktop experiences, backend services, data and analytics pipelines, dashboards, and integrations with AI coding tools.
Build backend APIs, data models, ingestion flows, dashboards, and user experiences that connect AI tool usage to outcomes engineers and leaders can act on.
Contribute to technical designs and turn product requirements into clear, incremental implementation plans with support from senior engineers when needed.
Own features and services in production by improving observability, reliability, performance, security, and supportability as part of the software development lifecycle.
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow to deliver secure, optimized, and maintainable code.
Build AI-enabled and agentic workflows that fit naturally into how developers work, with appropriate evaluation, safeguards, and human oversight.
Contribute to shared system context - designs, constraints, standards, and operational knowledge - that helps both people and AI agents work accurately and reliably.
Review human- and AI-generated code for correctness, quality, security, and performance; participate actively in design and code reviews; and share what you learn with the team.