Software Engineering SMTS
Salesforce is hiring a Software Engineering SMTS in Toronto, Canada. Level rates it ; you can apply on Salesforce.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include Claude, Copilot and Cursor.
- Level classifies it as a lead role.
- Level lists 1,500+ other open roles at Salesforce.
- The role was posted in the last few days.
AI in this role
Lead Software Engineer building core agent frameworks, evaluation infrastructure, and agentic workflows for product setup and configuration.
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 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.
The Experience The Agentic Setup team builds AI agents, on a skills based architecture, that turn expert only, multi step product configuration, Org troubleshooting and management into natural language, agent assisted workflows. As part of this team, you will work across agent runtime, capability and skill design, evaluation infrastructure, and the systems that let agents find and act on the right data.We are looking for a Lead Software Engineer to help us build agentic experiences for product setup and configuration. You will help design a core agent framework, contribute to a growing skills ecosystem, and build the evaluation infrastructure that keeps agent behavior trustworthy as it scales. This role is based in San Francisco. You'll join a team building intelligent systems that automate the repetitive, elevate the strategic, and power better decisions at scale.What You'll Actually Be Doing
Design and build a core agent framework that hosts many specialized capabilities, orchestrates sub tasks reliably, and integrates seamlessly into human workflows.
Define the contract for reusable agent skills, focusing on API design, versioning, and composability so many teams can build and contribute consistently.
Build evaluation infrastructure that measures agent quality even when outputs are non deterministic, and use that signal to catch regressions over time.
Help agents efficiently find the right records and context using structured queries, catalogs, and semantic search.
Build and ship high quality, production grade software using modern engineering practices, with AI as a core part of your development workflow, pushing the boundaries of AI development tools to deliver secure, optimized, and high quality code.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code, human or AI generated, for correctness, quality, security, and performance.
You're Our Person If...
You have 6+ years experience designing and building large scale, distributed backend systems.
You have experience with API design, versioning, and building systems that many teams build on top of.
You have strong skills in at least one modern programming language and experience shipping production code.
You can reason clearly about ambiguous, large scale systems and communicate tradeoffs to a team.
You have a demonstrated, genuine AI first approach to engineering, using AI tools (such as Claude Code, GitHub Copilot, Codex, or Cursor) to move faster, build fluency across the stack, and contribute well beyond your core specialty.
You have advanced prompt engineering skills and the ability to write precise, structured prompts, cultivating the system context that makes AI outputs reliable, secure, and production ready.
You have a related technical degree.
Even Better If...
You have experience building or working with AI agents, large language model (LLM) based systems, or evaluation infrastructure for non deterministic outputs.
You have experience with retrieval systems such as semantic search or structured data catalogs.
You have experience migrating purpose built automation into general, composable APIs.
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.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.For Ontario-based roles, the base salary hiring range for this position is CAD to CAD annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.This posting is to fill a vacancy on our team, unless otherwise noted.How we rate this
Software Engineering SMTS at Salesforce rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where semantic search was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, AI agents, Software Engineering, Semantic Search, and API Design. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new software engineering jobs (Builds AI ●●●●) by email
One email a week with the new software engineering jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step