Senior Software Development Engineer in Test - AI Tooling & Automation
Listed on 2026-09-03
-
Software Development
AI Engineer (Applied/Software), Software Engineer, Software Testing, AI QA / Validation Engineer
Job Category
Software Engineering
Job Details About SalesforceSalesforce 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.
Salesforce Software Quality Senior Member of Technical Staff (SMTS)Job Category:
Software Engineering
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 Details
We are infusing AI into every aspect of our software engineering. While AI is writing the code, validation is what needs to be done to meet enterprise quality. We are looking for an enthusiastic Senior engineer who follows the AI-first approach to build and maintain validation of the code and ensure it is production-ready for our customers. This engineer should be able to help the team transition from traditional testing to using AI in driving acceleration and accuracy in testing and be a multiplier using AI tools.
Prior experience working with agentic products is a plus.
As a quality SMTS, you will play a key role in defining, implementing, and maintaining the quality strategy of the product. You will collaborate with cross-functional teams, including product development and AI teams, to ensure that Salesforce’s AI-driven solutions meet the highest quality standards for enterprise applications.
- Drive Innovation & Adoption:
Design, build, and maintain scalable, AI-first testing frameworks and automation suites to validate complex workflows and agentic capabilities. - Execute Quality Strategies:
Translate high-level quality strategies into actionable automation plans, focusing heavily on validating LLM integrations, prompt accuracy, and deterministic system behaviors. - Hands-on Code Quality & White-Boxing:
Dig deep into the application code to understand system architecture, identify quality gaps, perform white-box testing, and actively contribute to fixing code and test flakiness. - Human-in-the-Loop & Model Evaluation:
Implement and support evaluation processes for subjective quality dimensions of our AI features, including response relevance, user safety, and contextual accuracy. - Cross-Functional Collaboration:
Partner closely with developers, product managers, and engineers to ensure quality is integrated early and continuously throughout the agile delivery lifecycle.
Skills and Qualifications
- Strong Java
Skills:
Strong technical fundamentals of Java, particularly in data structures and algorithms. - AI/LLM Validation Mindset:
Hands-on experience evaluating Large Language Models (LLMs) for quality response, including familiarity with GPT-like models and AI evaluation frameworks is a big plus. - Agile Delivery at Pace:
Proven track record of delivering automation solutions in a fast-paced CI/CD environment, supporting rapid deployment schedules without compromising quality. - Collaboration & Communication:
Excellent communication skills, with the ability to work cross-functionally with product managers, engineers, AI/ML engineers, and data scientists. - Problem-Solving & Analytical
Skills:
Strong analytical and problem-solving abilities with a focus on identifying quality gaps and driving improvement.
- A software engineer with a strong coding background and understanding of…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).