Software Engineering SMTS (Salesforce & Prompt Engineering, Gen AI Exp)

Salesforce's Learning Technology team is seeking an AI Engineer (SMTS) to join their Agentforce implementation team. This role combines cutting-edge AI technology with enterprise software development, focusing on Large Language Models (LLMs) and prompt engineering. The position requires deep expertise in AI, software engineering, and Salesforce technologies.

The role involves designing and optimizing AI solutions using advanced prompt engineering techniques, including few-shot learning and chain-of-thought prompting. You'll work with various LLM models like GPT and Llama to create Salesforce-specific applications. The position emphasizes both technical excellence and practical business application, requiring skills in conversation design, multimodal interactions, and scalable AI system development.

Key technical aspects include working with machine learning frameworks, developing REST APIs, and maintaining production AI systems. You'll need proficiency in Python, Java, and Salesforce's APEX, along with experience in enterprise software development practices. The role involves collaboration across teams, including product managers, data scientists, and researchers.

The ideal candidate will have 6+ years of ML engineering experience, strong prompt engineering skills, and deep knowledge of NLP and AI applications. You'll need to understand both the technical aspects of AI development and the business context of enterprise software. The role offers the opportunity to work on innovative AI solutions while maintaining high standards for scalability, security, and user experience.

This position at Salesforce combines the excitement of working with cutting-edge AI technology with the stability and impact of enterprise software development. You'll be at the forefront of implementing AI solutions that directly impact business operations while working with a leading technology company known for its innovation in enterprise software.