Software Engineering LMTS

Salesforce is hiring a Software Engineering LMTS in San Francisco, United States. It pays $173k-$260k a year and Level rates it ; you can apply on Salesforce.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Java, AI agents and full stack among its tools and skills.
Level classes it as a senior role.
Salesforce has 1,500+ other open roles on Level.
Posted in the last few days.

AI in this role

Develop scalable full-stack web application features and distributed systems incorporating large language models.

java

ai-agentsfull-stackdistributed-systemsllmssoftware-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 team builds highly scalable, performant B2C experiences on a large distributed systems platform that ships hundreds of features a day to tens of millions of users. Engineers work on architecture, design, implementation and testing. Opportunities range from Sales Cloud and Industries Clouds to IoT, Analytics and Heroku.

What You'll Actually Be Doing

Develop application code using established methods that meets acceptance criteria.
Review and collaborate with Architects on designs.
Develop technical designs with any necessary automation strategies.
Work with the Product Owner to clarify story functionality, and with SMEs for guidance.
Develop stories, data mappings, test cases and success criteria.
Build and deploy code through approved channels.
Test with automated unit, integration, functional, acceptance, performance and smoke tests.
Commit to the iteration goals.

You're Our Person If...

7+ years of professional software development experience.
Extensive full-stack programming experience, with a good understanding of the web application domain, backend systems and LLMs.
Scalable feature design and implementation, plus knowledge of design patterns and industry best practices.
Commitment to engineering best practices: design, testing, documentation and code reviews.
Good knowledge of Java or a similar language.
Strong computer science, data structure and database fundamentals.
Ability to analyze a problem, design a solution, explain it to teammates and deliver it on time with high quality.
Excellent communication and presentation skills, working with cross-functional teams across geographies.

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.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $208,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

How we rate this

Software Engineering LMTS at Salesforce rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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.

Key facts

Software Engineering LMTS is an open job at Salesforce.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $173k-$260k a year.
The role is based in California - San Francisco.
The job was posted on November 3, 2026.
Seniority: senior.
Applications are handled by Salesforce. Apply on Salesforce

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsFull StackDistributed SystemsLLMsSoftware DevelopmentJava

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where full stack was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where llms was part of your work. What did you do?
Tell me about a project where software development was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Full Stack, Distributed Systems, LLMs, and Software Development. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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 a free CV review Get your CV rewritten Check your resume with the ATS resume checker

Get new software engineering jobs (Works on AI ●●●○ or higher) by email

One email a week with the new software engineering jobs (Works on AI ●●●○ or higher), 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.