Software Engineering SMTS/LMTS

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. About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good– you’ve come to the right place. Job Description : SMTS/LMTS - AI Services About the Team The AI Services team builds the AI agents and automation infrastructure that makes Salesforce's engineering organization AI-first. We deliver intelligent agents, quality scoring systems, and self-service frameworks that replace manual processes with automation. Our tools are used daily by engineers across the platform organization, and the scope is expanding to thousands of engineers across multiple clouds.

We are looking for a Senior Member of Technical Staff to design and build AI agents that fundamentally change how engineering teams approach quality and productivity. You will create intelligent agents that reason, plan, use tools, and execute multi-step workflows autonomously. These agents will handle everything from automated test generation to failure triage to codebase analysis, replacing manual processes with systems that learn and improve. This is a hands-on agent engineering role. You will design agent architectures, implement tool-use patterns, build memory and context systems, and ship agents that run reliably at scale. We build with AI to build AI agents. The team ships continuously and iterates fast.

Design and build AI agents from the ground up: define their goals, tool access, context strategies, planning approaches, and evaluation criteria Create specialized agents for quality and productivity workflows (dev orchestration, test authoring, code review, failure triage, validation strategy, codebase migration) Build the agent orchestration layer that coordinates multiple agents into reliable, end-to-end workflows with handoffs, retries, and human-in-the-loop checkpoints Build and scale the AI Quality Readiness scoring platform that measures how prepared teams are for AI-first development: code structure, documentation quality, test patterns, Second Brain / Project Brain configuration, and repository health Create onboarding and remediation tooling that helps teams configure their repositories for AI effectiveness, including Second Brain / Project Brain integration and knowledge base setup Design the agent contribution ecosystem: shared toolchains, agent registries, and plugin architectures that allow teams across the organization to build, share, and compose agents Instrument, evaluate, and iterate on agent performance using production usage data, automated evals, and feedback loops Integrate agents with internal developer infrastructure: CI/CD systems, test frameworks, code review tools, and collaboration platforms What We Are Looking For 7+ years of software engineering