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Salesforce

Software Engineering LMTS

Salesforce is hiring a Software Engineering LMTS in Vancouver, 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.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Claude, Copilot and Cursor among its tools and skills.
  • Salesforce has 1,500+ other open roles on Level.
  • Posted within the past week.

AI in this role

Software engineer building AI-driven agent and transcript processing capabilities within Salesforce's Momentum product.

claudecopilotcursorclaude-codecodexjavascriptapis
prompt-engineeringai-agentssoftware-engineeringbackendfrontendtest-driven-development

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.

The Experience

The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our work easier. We embrace the hybrid model and celebrate the individual strengths of each team member while helping everyone on the team grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions empower individuals, the product, the company, and the customers we serve to thrive.

What You'll Actually Be Doing

  • Design, build, test, and operate capabilities across the Momentum product, from meeting capture and recording through transcript processing, insight generation, and customer-facing experiences.
  • Develop robust backend services, APIs, and event-driven workflows that perform reliably at enterprise scale in a multi-tenant environment.
  • Contribute to frontend experiences using modern JavaScript and component-based frameworks, including Lightning Web Components where applicable.
  • Process and manage high-volume conversation, recording, transcript, and insight data securely and efficiently.
  • Design for security, privacy, compliance, data residency, observability, and operational readiness from the beginning.
  • Apply test-driven development practices and contribute to unit, integration, functional, performance, and end-to-end test coverage.
  • Use CI/CD tooling and modern engineering practices to safely deliver production-grade software.
  • Monitor production behavior, diagnose complex distributed-system failures, and improve system reliability and supportability.
  • Participate in architecture and code reviews, critically evaluating human- and AI-generated code for correctness, maintainability, security, accessibility, and performance.
  • Use AI development tools such as Claude Code, GitHub Copilot, Codex, or Cursor to improve development velocity, testing, debugging, and documentation.
  • Create clear system context, including architecture decisions, operational constraints, coding standards, and runbooks, so both engineers and AI-assisted workflows can operate effectively.
  • Collaborate with Product, Design, Security, Privacy, Site Reliability, and partner engineering teams to deliver trusted customer outcomes.



You're Our Person If...

  • A related technical degree, or equivalent practical experience, required
  • 8+ years of backend software development experience
  • Deep knowledge of object-oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.js, or JavaScript
  • Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc.
  • Experience with Spring, gRPC, REST, and the HTTP protocol
  • Experience with Agile development methodology
  • A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty
  • Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
  • Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready
  • Willingness to participate in the team's on-call rotation to address complex problems in real time and keep services operational and highly available
  • Office-Flex: 10 days per quarter



Even Better If...

  • Experience with conversation intelligence, audio or video recording, transcription, media processing, or meeting-platform integrations

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.

For British Columbia-based roles, the base salary hiring range for this position is CAD 154,700 to CAD 212,800.

How we rate this

Software Engineering LMTS at Salesforce rates 85 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Prompt engineeringAI agentsSoftware EngineeringBackendFrontendTest Driven DevelopmentClaudeCopilot

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where software engineering was part of your work. What did you do?
  4. Tell me about a project where backend was part of your work. What did you do?
  5. Tell me about a project where frontend 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, Backend, and Frontend. 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.

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