Senior, Member of Technical Staff

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Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The world of work is changing and we are looking for Trailblazers to drive AI and innovation. Agentforce is the future of AI and we are building production AI agents that transform our global sales organization.

Senior Software Engineer who thrives in a fast‑paced environment, delivers high‑quality solutions independently, and drives technical excellence.

• 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, Mule Soft, 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

• Design and build smart agent systems that help over 15,000 users do their jobs better
• Create systems that enable agents to 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 their code and sharing technical knowledge
• Lead design discussions and make critical decisions about scalable feature development
• Test and improve systems to ensure reliability for all users

• 6+ years of development experience as a software engineer
• Strong experience with backend development in Java, Python, or a statically‑typed language (C++, C#)
• Deep knowledge of AI/ML frameworks and hands‑on experience 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 experience strongly preferred)
• Experience with cloud infrastructure (AWS, GCP, Heroku) and designing scalable, distributed system architectures
• Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization
• Strong understanding of Salesforce platform (Apex, LWC, Data Cloud, Platform Events) or equivalent enterprise platform experience
• Experience with RESTful APIs, GraphQL, event‑driven architectures, and microservices patterns
• A related technical degree
• Excellent verbal and written communication skills to influence technical decisions and collaborate across organizations
• Strong experience in test‑driven development, including unit, integration, and end‑to‑end automation for AI systems
• Proven ability to debug complex production issues, optimize system performance, and resolve customer‑impacting problems
• Experience with developer tools such as Git, Docker,…