Software Engineer – AI Systems

Salesforce

. Design and build systems that learn from demonstrations and combine AI reasoning with deterministic execution .

Posted 11/4/2026full-timeUnited StatesMid-LevelSenior💰 $197,300 - $313,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building complex backend systems, particularly those powered by LLMs, while ensuring correctness, security, and maintainability. Engages with customers to translate unclear problems into technical solutions and leads architectural decisions to enhance product reliability and performance.

Highest-signal resume keywords

Backend System ArchitectureLLM-Powered SystemsPython, Go, Java, JavaScript/TypeScriptWorkflow OrchestrationCustomer Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend System DevelopmentConcurrency ManagementPersistent State HandlingAutomated RecoveryEvaluation Frameworks

Soft Skills

Problem-SolvingCustomer CollaborationMentoring

Tools & Technologies

AI Development ToolsBrowser AutomationWorkflow State Management

Industry Keywords

Production FailuresTask Success EvaluationEnterprise Integrations

Tech Stack

Tools & technologies

JavaJavaScriptPythonTypeScriptGo

About the role

Key responsibilities & impact

Design and build systems that learn from demonstrations and combine AI reasoning with deterministic execution
Develop recovery and verification capabilities for agents
Build backend services with workflow state management, failure handling, and secure customer-environment access
Create evaluations and diagnostics to measure task success, expose regressions, and explain failures
Work alongside customers to understand workflows, prototype solutions, and validate results
Investigate automation successes and failures and turn findings into core product improvements
Help customers progress from initial successful workflows to repeatable, increasingly self-service adoption
Partner with forward-deployed engineers and product management on roadmap priorities
Lead architectural decisions across agent execution, backend services, and workflow state
Evaluate model selection, tool use, and context management against reliability, latency, and cost
Raise engineering standards through implementation, design reviews, mentoring, and participation in hiring

Requirements

What you’ll need

Experience leading architecture and delivery of complex backend systems through deployment, production failures, and subsequent improvements
Hands-on experience shipping and operating LLM-powered systems
Experience using evaluations and production failures to inform design decisions
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 lead through production
Willingness to engage directly with customers, investigate problems, and discuss technical tradeoffs
Thoughtful use of AI development tools
Responsibility for correctness, security, and maintainability of shipped work
Agent tool use, code generation, automated recovery, or evaluation frameworks (preferred)
Browser automation, workflow orchestration, or enterprise integrations (preferred)
Experience building an early-stage product or in a customer-facing engineering role (preferred)

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
Certain roles may be eligible for incentive compensation and equity