Senior Software Engineer, Agentforce Engines & Experiences

Senior Software Engineer, Agentforce Engines & Experiences 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 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. The Agentforce Engines & Experiences team is at the heart of Salesforce's AI-native future. We build the core backend infrastructure and platform capabilities that power Agentforce — enabling intelligent, autonomous agents to reason, act, and deliver outcomes for customers at scale. Our systems are built on Java and Python, deployed on cloud infrastructure, and designed for high availability, low latency, and massive scale. We're looking for a hands-on technical leader who thrives in a fast-moving AI environment, is excited about building foundational infrastructure, and wants to shape how enterprise AI agents are built and run. As a Senior Member of Technical Staff, you will drive architecture, set engineering standards, and work closely with Product Management, Research, and Platform teams to push the boundaries of what AI can do for our customers. Key Responsibilities Technical & Engineering Leadership: Champion and enforce best-in-class engineering practices across architecture reviews, code quality, scalability design, and security standards for AI platform services. AI Infrastructure: Design, build, and operate high-performance backend systems that serve as the execution layer for Agentforce — including agent orchestration, reasoning pipelines, tool invocation, and memory services. Architecture & Strategy: Collaborate with engineering leadership and architects to define and evolve the long-term technical roadmap for Agentforce engines and experiences. Emerging AI Technology: Spearhead research, prototyping, and integration of AI/ML technologies and agentic frameworks to enhance product capabilities, performance, and developer experience. Cross-Functional Collaboration: Partner closely with Product Management, Applied AI Research, and Platform teams to translate business requirements into scalable, production-grade systems. Mentorship: Elevate engineering talent across the team through hands-on code reviews, architecture guidance, and a culture of continuous learning. Must Haves BS or higher in Computer Science or a related technical field. 5+ years of professional software engineering experience, with a demonstrable focus on large-scale, distributed, or AI/ML-intensive backend systems. Deep proficiency in Java and/or Python, with production experience building and operating high-throughput services at scale. Proven experience designing, building, and maintaining production services on AWS or equivalent cloud platforms (GCP, Azure). Strong knowledge of distributed systems concepts: consistency, fault tolerance, service mesh, observability, and performance tuning. Experience designing and maintaining RESTful and/or gRPC APIs for mission-critical, latency-sensitive workflows. Excellent written and verbal communication skills, with the ability to drive alignment across engineering, product, and research stakeholders. A passion for teaching, mentoring, and building high-performing engineering teams. Nice to Haves Hands-on experience building or integrating LLM-based systems, agentic frameworks, or AI orchestration pipelines in production environments. Familiarity with AI/ML model serving infrastructure, vector stores, embeddings, or retrieval-augmented generation (RAG) patterns. Experience with Kubernetes, container orchestration, and cloud-native infrastructure (AWS EKS, Lambda, SQS, S3, etc.). Strong background in observability — distributed tracing, metrics, alerting, and on-call best practices in high-traffic production environments. Experience with multi-tenant SaaS platforms and enforcing security, compliance, and data isolation at scale. Prior work on developer-facing platforms or internal APIs used by other engineering teams. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. 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. Know your rights: workplace discrimination is illegal. 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. 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: 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 $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr Relha LLC