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Salesforce

Software Engineering, AI Systems (SMTS)

  • Office

Salary

Not stated

Similar roles pay $185K - 260K a year · our estimate

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Description

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

Join a team of 10 within Salesforce AI Labs, bringing computer-use AI into production with the autonomy of a small startup and the reach of Salesforce. We’re building a product that learns from human demonstrations and turns complex workflows into repeatable automation across enterprise applications.

Making computer use dependable raises hard engineering questions. How does an agent know it succeeded? When should it reason, and when should it follow a deterministic path? How should it recover when an application changes or ask for help before making a consequential mistake?

You’ll help answer those questions in production. Our team works directly with customers, building alongside them and turning discoveries into reusable product capabilities. You’ll own substantial systems from design through deployment and help take a new offering from early customer adoption through general availability, backed by Salesforce’s scale and reach.

What You'll Actually Be Doing

Drive Agent Development & Architecture

Build systems that learn from demonstrations and combine AI reasoning with deterministic execution to complete workflows reliably.

Develop recovery and verification capabilities so agents can adapt to changes, confirm outcomes, and recognize when human intervention is needed.

Build backend services with robust workflow state management, failure handling, and secure access to customer environments.

Create evaluations and diagnostics that measure task success, expose regressions, and make failures understandable.

Build Directly With Customers

Work alongside customers to understand their workflows, prototype solutions, and validate results in their environments.

Investigate where automation succeeds or fails, then turn those findings into improvements to the core product.

Help customers move from their first successful workflow toward repeatable, increasingly self-service adoption.

Partner with forward-deployed engineers and product management to decide which customer needs should shape the roadmap.

Shape Technical Direction & Grow the Team

Own technical decisions for substantial components, from initial design through production operation.

Evaluate model selection, tool use, and context management against reliability, latency, and cost.

Mentor peers through design discussions and code reviews, and participate in hiring.

You're Our Person If...

You’ve independently owned a substantial backend service or system through design, deployment, production failures, and subsequent improvements.

You have hands-on experience building and evaluating LLM-powered systems, and can explain how you assessed their quality and failure modes.

You can reason through concurrency, persistent state, retries, and partial failures in systems that perform consequential actions.

You’re proficient in Python, Go, Java, or JavaScript/TypeScript.

You can turn an unclear customer problem into a bounded technical approach, test it with users, and carry it through to production.

You want direct customer engagement to be part of your engineering work, including investigating problems and discussing technical tradeoffs.

You use AI development tools thoughtfully and take responsibility for the correctness, security, and maintainability of what you ship.

Helpful Experience

Agent tool use, code generation, automated recovery, or evaluation frameworks.

Browser automation, workflow orchestration, or enterprise integrations.

Building an early-stage product or working in a customer-facing engineering role.

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.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in San Francisco, United States, Bellevue, United States, New York, United States, United States

Also hiring in Chicago, United States, Atlanta, United States, Dallas, United States and 32 more places

55 of their 340 open roles are remote

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  • Your field
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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • TypeScript
  • Python
  • Go
  • Java
  • JavaScript
  • LLMs
Type
Full-time
Industry
SaaS
Specialty
Backend
Region
United States
Pay period
Annual
Show 4 more factsShow less

Role

Category
Development
Specialty
Backend
Tech stack
  • TypeScript
  • Python
  • Go
  • Java
  • JavaScript
  • LLMs

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • Bellevue, United States
  • New York, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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