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Job Category
Software EngineeringJob 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.
The Role
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.
What You Will Do
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 experience building production systems at scale
Strong proficiency in Java, Python, or TypeScript
Experience building AI agents or agentic systems (structured prompting, tool use, multi-step reasoning, context management)
Solid understanding of software testing, CI/CD pipelines, and developer tooling
Track record of designing systems that operate reliably in large-scale, multi-tenant environments
Ability to break down ambiguous problems into iterative, shippable increments
Ability to drive adoption across engineering teams through quality of tooling and developer experience
Preferred Qualifications
Experience building developer productivity tools or internal platforms used broadly across an engineering organization
Experience with large-scale test infrastructure, test selection, or test generation systems
Experience building scoring, metrics, or code intelligence systems
Familiarity with static analysis, linting infrastructure, or developer insight tooling
Background in quality engineering, test automation, or DevOps
Experience working in large enterprise codebases with complex build and deployment systems
Why This Role
You will build agents used by engineers across the organization daily
The problems are real, the impact is measurable, and the pace is fast
AI agents are not a feature here. They are the product. You will build agents that build, test, and ship software.
You will work at the intersection of AI, developer experience, and quality engineering at Salesforce scale
The team operates with high autonomy and ships continuously
You will design systems that scale from one org to the entire platform engineering organization
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
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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.