Software Engineering SMTS

What you'll do

• Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and New Graph Architecture.
• Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases.
• Lead the implementation of agent memory systems, context management, and conversation state handling.
• Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent accuracy.
• Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs.
• Design and implement content ingestion pipelines for processing structured and unstructured data into knowledge bases.
• Drive platform migrations while maintaining zero downtime for production systems.
• Mentor junior engineers through code reviews, technical guidance, and knowledge sharing.

What we're looking for

• 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 like C++ or C#.
• Deep knowledge of AI/ML frameworks and hands-on experience working with large language models like OpenAI, Anthropic, Claude, Gemini, or 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.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related STEM field with strong competencies in algorithms and data structures.