Senior​/Lead AI Software Engineer, Agentforce Supply Chain

Overview of the Role

Join an agile team with deep startup roots. We operate as a high-velocity startup-within-Salesforce, following our recent acquisition. Youll be managed by the same founders and engineers who built the original company, offering the autonomy of a small team backed by the global scale and trust of Salesforce. You will have the opportunity to build a 0 to 1 product with the founding team, while leveraging Salesforce's Data Cloud and security infrastructure to drive immediate global impact at scale.

Agentforce for Supply Chain is reimagining the supply chain with an AI-powered platform for designing, automating, and running end-to-end business processes, with seamless collaboration through familiar channels like email. This represents a growth opportunity in the back office, with innovations that flow into the front office. Customers are expanding their use cases as we enter an exhilarating growth phase.

What youll-do context:
As a Senior/Lead AI Software Engineer, you will drive the ongoing development of our agents that complete complex tasks reliably, plan work ahead, and execute to drive consistency, correctness, and automation.

Senior/Lead AI Software Engineer, Agentforce Supply Chain - Agent Team

• Lead development of intelligent agents that complete complex supply chain tasks with reliability and consistency
• 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
• Build and ship production-grade software using modern engineering practices, with AI as a core part of the development workflow
• Design and orchestrate complex systems where AI agents integrate into human workflows, driving efficiency and innovation at scale
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards for AI operation
• Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance

• 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 cross-functional teams including Design, Product Management, and industry experts to build high-quality product features
• Take on new challenges and responsibilities as needed, and be an enthusiastic team player in a dynamic environment
• Engage directly with customers to gather insights and validate technical approaches
• Participate in hiring decisions and contribute to a culture of continuous learning

• B.S. in Computer Science with coursework in Artificial Intelligence (M.S. preferred)
• 5+ years (7-12 for Lead, 4-8 for Senior) of industry experience in Software Engineering, with a focus in AI/ML
• Proficiency in multiple programming languages such as Python, Go, Java, or C++
• Strong background in APIs, data modeling, and databases
• Proficient with modern AI orchestration frameworks (e.g., Lang Chain, Llama Index) and production-grade serving libraries like vLLM or Hugging Face TGI
• Demonstrated ability to work both independently and collaboratively in a dynamic environment
• Excellent written and verbal communication skills
• Passion for continuous learning and development in AI technologies, and enthusiasm for mentoring peers
• A proven collaborator who can manage stakeholders and drive consensus across diverse engineering and product teams
• Experience with enterprise-grade observability tools (e.g., Splunk) and cloud infrastructure (AWS/GCP)
• A demonstrated, genuine AI-first approach to engineering
• Experience using AI tools (e.g., Claude Code, Git Hub Copilot, Codex, Cursor) in development workflows
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.

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