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Salesforce

Builds cloud software for customer relationships

Lead Software Engineer - AI Workflow Generation, Agentforce Operations

AI Application EngineeringPosted on Nov 9
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A B.S. in Computer Science or equivalent is required, with coursework in Artificial Intelligence; an M.S. is preferred.
  • At least 5 years of industry experience in Software Engineering focused on AI/ML are required; the posting lists 7–12 years for Lead and 4–8 years for Senior.
  • Proficiency in multiple programming languages such as Python, Go, Java, or C++ is required.
  • A strong background in APIs, data modeling, and databases is required.
  • Candidates must have expertise in model evaluation, including experience designing custom benchmarks and automated testing suites for complex models and integrating production telemetry to monitor live model performance and data drift.

Responsibilities

  • Lead development of intelligent agents that complete complex supply chain tasks reliably and consistently.
  • Spearhead architectural decisions for distributed systems serving millions of users with 24/7 availability.
  • Design and implement planning systems that enable agents to execute multi-step workflows autonomously.
  • Partner with Product Management and Executive Leadership to translate business vision into multi-year technical roadmaps.
  • Guide technical decision-making for AI model deployment, safety constraints, and reliability frameworks.
  • Drive adoption of enterprise-grade observability tools and cloud infrastructure best practices.
  • Mentor engineers to improve code quality, AI/ML practices, and system design.
  • Collaborate with Design, Product Management, and industry experts to build product features.
  • Engage directly with customers to gather insights and validate technical approaches.
  • Participate in hiring decisions and contribute to a culture of continuous learning.
  • Take on new challenges and responsibilities as needed.

Desired Qualifications

  • Understanding of current LLM orchestration frameworks and experience moving beyond them when necessary.
  • Experience with enterprise-grade observability tools such as Splunk and cloud infrastructure such as AWS or GCP.
  • Enthusiasm for continuous learning and development in AI technologies, and mentoring peers.
  • Experience managing stakeholders and driving consensus across engineering and product teams.

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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