Mexico City 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 AInovation, 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. Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that empower Salesforce's 15,000+ global sellers. As Customer Zero for Agentforce, we are at the forefront of agent development, pioneering patterns that shape how enterprises deploy AI agents. We are looking for a backend Software Engineer who enjoys a fast-paced environment, can deliver incrementally, and thinks creatively. You will work on cutting-edge agent technologies using Agentforce, Agent Script, and integrate with Salesforce CRM and Data Cloud. Your Impact: - Build and maintain agent capabilities using Agentforce Builder, Agent Script, and New Graph Architecture (NGA) serving 15,000+ internal users - Develop agent topics, skills, and conversation flows for complex sales use cases including account research, content recommendations, and sales coaching - Implement integrations connecting agents to Salesforce Data Cloud, APIs, and external data sources - Write and optimize prompts for agent instructions, guardrails, and high-quality response generation - Develop data ingestion pipelines for structured and unstructured content to power agent knowledge bases - Participate in UAT, regression testing, and production support with focus on agent conversation quality - Work in an Agile engineering model contributing to all phases of SDLC including design, implementation, code reviews, and testing - Collaborate with product managers, architects, and business stakeholders as part of Customer Zero initiative - Build efficient components on a microservice, multi-tenant SaaS cloud environment - Contribute to bi-weekly production releases maintaining high quality and reliability standards Basic Qualifications and Skills: - 3-5 years of development experience as a software engineer - Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C#) - Knowledge of AI/ML frameworks and foundational understanding of large language models (e.g., OpenAI, Anthropic, Claude, Gemini, etc.) - Experience with prompt engineering, conversational AI, or building LLM-based applications is a strong plus - Proficiency in data processing, working with APIs (REST, GraphQL), and integration patterns - Understanding of vector databases, embeddings, and semantic search concepts - Experience with Salesforce platform (Apex, LWC, Data Cloud) or ability to learn quickly - Bachelor's (or) Master's degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms and data structures - Strong verbal and written communication skills with ability to collaborate across teams - Experience in test-driven development with focus on unit testing, integration testing, and end-to-end automation - Ability to support/resolve production issues with debugging and problem-solving skills - Experience with developer tools such as Git, Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub Actions) a plus - Passion for AI and eagerness to grow expertise in agent development and Agentforce platform Preferred Qualifications: - Hands-on experience with Salesforce Agentforce or Agent Builder - Experience with retrieval-augmented generation (RAG) and prompt optimization techniques - Familiarity with Salesforce CRM, Data Cloud, or platform development - Experience building chatbots, conversational interfaces, or AI assistants - Understanding of agentic AI architectures and multi-agent systems
