About this opportunity
salesforce.com, inc. lists this Lead Software Engineer - Enterprise Agents opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Lead Software Engineer - Enterprise Agents (Specialty Requirement)
IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES
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.
As part of this role, you will:
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
Required Skills
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
Office‑Flex: Work in‑person at least 10 days per quarter
Preferred Skills
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
Benefits & Perks
Check out our benefits site - wellbeing reimbursement, parental leave, adoption assistance, fertility benefits, and more.
Salesforce Information
Check out our Salesforce Engineering Site.
Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Know your rights: workplace discrimination is illegal.
In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.