Software Engineering SMTS

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. The Experience Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that transform how Salesforce's global sales organization operates. As Customer Zero for Agentforce, we pioneer agent development patterns that influence product strategy and define enterprise AI standards. We are looking 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 New Graph Architecture while integrating with Salesforce CRM, Data Cloud, and external platforms. What You’ll Actually Be Doing • 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 and MCP. • Design and implement content ingestion pipelines processing structured and unstructured data (PDFs, web content, documents) for agent knowledge bases • Drive platform migrations (e.g., Graph to Agent Script, legacy to NGA) 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 You’re Our Person If… • 6+ years of development experience as a software engineer with demonstrated growth in technical complexity and scope • Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C#) • Deep knowledge of AI/ML frameworks and hands-on experience working with large language models (e.g., OpenAI, Anthropic, Claude, Gemini, Llama) • Proven experience with prompt engineering, RAG architectures, and building production LLM-based applications or agents • Experience with conversational AI, chatbots, or agent development platforms (Agentforce expe