Lead Software Engineer - Enterprise Agents

Salesforce•San Francisco, CA

4d•$172,500 - $285,800•Hybrid

About The Position

Join our team building enterprise-grade AI Agents headed for GA in the coming months. We need a strong all-round software engineer who also brings deep, hands-on experience in production Agent architecture — someone who can operate across the full stack while specializing in Agent systems that enterprise customers rely on at scale. Your Impact: You'll own the architecture and delivery of production Agent capabilities under real GA timeline pressure — balancing speed with the reliability, security, and observability enterprise customers expect, while also contributing broadly across our backend and platform codebase.

Requirements

A related technical degree, or equivalent hands-on experience
8+ years of professional software development experience, including production experience architecting and shipping Agent-based systems
Strong computer science fundamentals: data structures, algorithms, distributed systems, and API/service design
Deep knowledge of object-oriented programming and proficiency in at least one OOP language (Java, JavaScript, C++, C#, Ruby, Python)
Solid experience with databases (SQL/NoSQL), REST/GraphQL API design, and building scalable, secure backend services
Familiarity with cloud infrastructure, CI/CD pipelines, and modern software delivery practices
Proven experience with Agent orchestration frameworks, tool-calling patterns, and LLM integration in production environments
Strong understanding of the reliability, security, and observability requirements unique to enterprise-grade Agent systems (guardrails, evaluation, monitoring, failure handling)
Demonstrated AI-first engineering approach — fluent use of AI tools (Claude Code, GitHub Copilot, Codex, Cursor, etc.) in daily development
Advanced prompt engineering skills — precise, structured prompting and system-context design that makes Agent outputs reliable and production-ready
Excellent interpersonal skills and the ability to work with high autonomy under tight timelines

Nice To Haves

Prior experience taking an Agent product from build to GA at enterprise scale
Experience with Agile software development and test-driven development
Experience with large-scale, multi-tenant SaaS platforms
Track record as a top performer in current and past roles

Responsibilities

Architect, design, implement, test, and deliver production-grade software systems — including Agent capabilities built for scale and enterprise reliability
Write high-quality, maintainable, well-tested code across services, APIs, and data layers, not just Agent-facing components
Design orchestration patterns where AI Agents integrate into human and system workflows securely and predictably
Build and maintain the shared system context — the explicit repository of design constraints, guardrails, and standards that keeps Agent behavior accurate and reliable in production
Drive the technical path to GA: define readiness criteria, close architecture gaps, and de-risk the timeline
Debug, troubleshoot, and resolve complex issues across the stack, from infrastructure to application logic
Critically evaluate code and Agent behavior (human- or AI-generated) for correctness, security, and performance
Participate in on-call rotation to keep services operational and highly available
Mentor others on both general software engineering practices and Agent architecture patterns
Present designs to internal/external stakeholders and review the designs of others
Collaborate cross-functionally with product, design, and other engineering teams to ship end-to-end features