Software Engineering MTS
About The Position
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. 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.
Requirements
- 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.)
- 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
- A related technical degree required
- 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
- Passion for AI and eagerness to grow expertise in agent development and Agentforce platform
Nice To Haves
- Experience with prompt engineering, conversational AI, or building LLM-based applications is a strong plus
- 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
- Experience with developer tools such as Git, Docker, Kubernetes, CI/CD pipelines (Jenkins, GitHub Actions) a plus
Responsibilities
- 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.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
