Senior, Member of Technical Staff

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. Software Engineering – Senior Software Engineer 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. Role Overview Senior Software Engineer who thrives in a fast‑paced environment, delivers high‑quality solutions independently, and drives technical excellence. The Experience 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 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 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 You’re Our Person If… 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, Kubernetes, Terraform, CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker) 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 (Grafana, Datadog) and monitoring agent systems in production Contributions to technical communities, open‑source projects, or conference speaking Benefits and Accommodations In the United States, compensation offered will be determined by factors such as location, level, knowledge, skills, and experience. Eligible roles may receive incentive compensation, equity, and benefits. We offer time‑off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock‑purchasing program. If you need a reasonable accommodation during the application or recruiting process, please submit a request via the Accommodations Request Form. Equal Opportunity Employer Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. 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. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. #J-18808-Ljbffr Salesforce