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Salesforce

Builds cloud software for customer relationships

Principal Engineer - AI Systems, Pmts

AI Application Engineering +1Posted on Nov 4
Full-time

About the Job

Requirements

  • Experience leading the architecture and delivery of complex backend systems through deployment, production failures, and subsequent improvements, with impact across multiple components or teams.
  • Hands-on experience shipping and operating large language model-powered systems, including explaining how evaluations and production failures informed design decisions.
  • Ability to reason through concurrency, persistent state, retries, and partial failures in systems that perform consequential actions.
  • Proficiency in Python, Go, Java, or JavaScript/TypeScript.
  • Ability to turn an unclear customer problem into a bounded technical approach, test it with users, and lead it through production while creating capabilities other engineers can build on.
  • Willingness to include direct customer engagement in engineering work, including investigating problems and discussing technical tradeoffs.
  • Ability to use artificial intelligence development tools thoughtfully and take responsibility for the correctness, security, and maintainability of shipped work.

Responsibilities

  • Design and build systems that learn from demonstrations and combine artificial intelligence 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.
  • 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.
  • Lead architectural decisions across agent execution, backend services, and workflow state, aligning system boundaries and tradeoffs with other technical leads.
  • Evaluate model selection, tool use, and context management against reliability, latency, and cost.
  • Raise the engineering bar through hands-on implementation, design reviews, and mentoring; help engineers take on broader ownership and participate in hiring.

Desired Qualifications

  • Experience with agent tool use, code generation, automated recovery, or evaluation frameworks.
  • Experience with browser automation, workflow orchestration, or enterprise integrations.
  • Experience building an early-stage product or working in a customer-facing engineering role.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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