Software Engineer, AI Developer Productivity (MTS)

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. AI Software Engineer MTS Buenos Aires | Hybrid JOB DESCRIPTION The AI Solutions team in Technology & Product builds the products and platforms that help Salesforce engineers use AI coding tools safely, effectively, and measurably. Our work spans DevBar, AI usage telemetry, code attribution, budget governance, developer intelligence, and the integrations that make AI tools easier to adopt at Salesforce scale. As a Member of Technical Staff, you will build and operate full-stack product and platform capabilities across desktop applications, backend services, data pipelines, dashboards, and developer-facing integrations. Working with experienced engineers and product partners, you will turn product needs into reliable software, own well-defined areas end to end, and help thousands of Salesforce engineers get more value from AI every day. What You'll Actually Be Doing Design, implement, test, and ship full-stack features across AI Solutions products, including DevBar, AI metrics, AI attribution, budget governance, and related developer intelligence surfaces. 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. You're Our Person If... 3+ years of professional experience building production software, including full-stack applications, backend services, developer tools, or internal platforms. Strong programming fundamentals and proficiency in at least one modern language, with the ability to work across frontend, backend, APIs, data stores, and service boundaries. Experience delivering well-defined features through design, implementation, testing, rollout, and production ownership. A practical 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. Clear communication and collaboration skills, including the ability to ask good questions, give and receive feedback, and work effectively with engineers and product partners. A demonstrated AI-first approach to engineering - using tools such as Claude Code, GitHub Copilot, Codex, or Cursor to move faster while validating outputs and maintaining quality. The ability to write precise, structured prompts and contribute the context, examples, and constraints that make AI-assisted development reliable and production-ready. A related technical degree is required. Even Better If... Experience building developer tools, AI coding tool integrations, internal platforms, telemetry systems, or enterprise desktop applications. Familiarity with React, TypeScript, Go, service APIs, event pipelines, analytics systems, or cloud- and Kubernetes-based services. Experience building self-service experiences, dashboards, plugin systems, command-line tools, or reusable integration patterns for engineering teams. Hands-on experience with LLM applications, agentic workflows, prompt evaluation, or safety and quality controls for AI-enabled features. Interest in AI developer productivity and helping engineering teams adopt AI tools in ways that are measurable, trustworthy, and scalable. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form . Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.