Software Engineering SMTS, Salesforce / Agentforce

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. Overview Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Agentforce team builds production AI agents that transform how Salesforce's global sales organization operates. This role is for a Senior Software Engineer who thrives in a fast-paced environment, delivers high-quality solutions independently, and drives technical excellence. You will architect and build sophisticated agent systems using Agentforce, Agent Script, and the New Graph Architecture while integrating with Salesforce CRM, Data Cloud, and external platforms. Responsibilities Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and NGA for production systems serving 15,000+ users Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases Lead implementation of agent memory systems, context management, and conversation state handling for personalized experiences Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent quality and accuracy Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs Design and implement content ingestion pipelines processing structured and unstructured data for agent knowledge bases Drive platform migrations while maintaining zero downtime for production systems Implement agent observability, monitoring, and debugging capabilities to track conversation quality and user satisfaction Mentor junior engineers through code reviews, technical guidance, and knowledge sharing Make critical technical decisions on agent design patterns, performance optimization, and scalability Work in an Agentic Agile engineering model leading design discussions, implementation, and delivery of major features Participate in architecture reviews and contribute to technical roadmap planning Lead UAT efforts, production deployments, and maintain high availability standards through bi-weekly release cycles What You'll Actually Be Doing Design and build smart agent systems that help over 15,000 users do their jobs better Create systems that help agents remember conversations and manage data for personalized experiences Build connections between agents and tools like Salesforce Data Cloud and other apps to ensure smooth integration Mentor junior team members by reviewing code and sharing technical knowledge Lead design discussions and make decisions about scalable feature development Test and improve systems to ensure reliability for all users You're Our Person If... 6+ years of development experience as a software engineer with growth in technical complexity Strong experience with backend development in Java, Python, or another object-oriented language (C++, C#) Knowledge of AI/ML frameworks and hands-on experience with large language models Experience with prompt engineering, RAG architectures, and production LLM-based applications or agents Experience with conversational AI, chatbots, or agent development platforms (Agentforce preferred) Experience with cloud infrastructure and designing scalable distributed systems Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization Strong understanding of Salesforce platform or equivalent enterprise platforms Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices A related technical degree is required Excellent communication skills with ability to influence technical decisions and collaborate across teams Experience with test-driven development including unit, integration, and end-to-end testing for AI systems Proven ability to debug production issues, optimize performance, and resolve customer-impacting problems Experience with developer tools such as Git, Docker, Kubernetes, Terraform, and CI/CD pipelines Track record of mentoring engineers and elevating team technical capabilities Experience delivering large-scale features used by thousands of users with measurable business impact Even Better If... Hands-on experience building agents with Salesforce Agentforce or Agent Builder Experience with agent orchestration frameworks, multi-agent systems, and agentic AI architectures Deep expertise in prompt optimization, fine-tuning LLMs, and model evaluation techniques Experience with customer-zero or early adopter programs influencing product development Knowledge of data engineering, ETL pipelines, and content processing at scale Experience with observability tools and monitoring agent systems in production Contributions to technical communities, open-source projects, or conference speaking Accommodations, Privacy, and Equal Opportunity If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Salesforce uses artificial intelligence tools to help recruiters assess and evaluate resumes and qualifications. Humans will always make final candidate selections and hiring decisions. See the Candidate Privacy Statement for information about data usage and AI opt-out options. Salesforce is an equal opportunity employer. We maintain a policy of non-discrimination with all employees and applicants. Recruiting, hiring, and promotion decisions are based on merit and qualifications. Compensation varies by location and role; benefits include time off, medical, dental, vision, mental health support, parental leave, life and disability insurance, 401(k), and stock purchase programs. More details at the Salesforce benefits site. #J-18808-Ljbffr salesforce.com, inc.