Software Engineering, SMTS

Salesforce

Software Engineering SMTS building Salesforce AI Labs computer-use AI for enterprise workflow automation. Developing reliable agents, backend services, evaluations, and customer solutions.

Posted 9/10/2026full-timeSan Francisco • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $148,500 - $223,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and evaluating LLM-powered systems, with a strong focus on backend service ownership, workflow state management, and customer engagement. Capable of turning customer challenges into technical solutions while ensuring system reliability and maintainability.

Highest-signal resume keywords

Backend Service OwnershipLLM-Powered Systems DevelopmentPython ProficiencyCustomer EngagementAI Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoJavaJavaScriptTypeScriptConcurrency UnderstandingPersistent State ManagementFailure HandlingAutomated RecoveryEvaluation Frameworks

Soft Skills

Problem-SolvingMentoringCustomer CommunicationTechnical Tradeoff Discussion

Tools & Technologies

AI Development ToolsAgent Tool UseBrowser AutomationWorkflow OrchestrationEnterprise Integrations

Industry Keywords

Workflow State ManagementFailure HandlingSelf-Service AdoptionProduct RoadmapTechnical Decision-Making

Tech Stack

Tools & technologies

GoJavaJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Build systems that learn from demonstrations and combine AI reasoning with deterministic execution to complete workflows reliably
Develop recovery and verification capabilities so agents adapt to changes, confirm outcomes, and recognize when human intervention is needed
Build backend services with workflow state management, failure handling, and secure access to customer environments
Create evaluations and diagnostics that measure task success, expose regressions, and explain failures
Work alongside customers to understand workflows, prototype solutions, and validate results in their environments
Investigate automation successes and failures and turn findings into core product improvements
Help customers move from initial successful workflows toward repeatable, increasingly self-service adoption
Partner with forward-deployed engineers and product management to shape the roadmap
Own technical decisions for substantial components from 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
Participate in hiring

Requirements

What you’ll need

Independently owned a substantial backend service or system through design, deployment, production failures, and subsequent improvements
Hands-on experience building and evaluating LLM-powered systems
Ability to assess LLM system quality and failure modes
Understanding of concurrency, persistent state, retries, and partial failures in systems performing consequential actions
Proficiency in Python, Go, Java, or JavaScript/TypeScript
Ability to turn unclear customer problems into bounded technical approaches, test with users, and carry solutions through production
Willingness to engage directly with customers, investigate problems, and discuss technical tradeoffs
Thoughtful use of AI development tools with responsibility for correctness, security, and maintainability
Helpful experience with agent tool use, code generation, automated recovery, or evaluation frameworks
Helpful experience with browser automation, workflow orchestration, or enterprise integrations
Helpful experience building an early-stage product or working in a customer-facing engineering role

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available
Equity may be available