Senior/Lead AI Engineer (Backend) - AI Integration

Salesforce, a leading enterprise software company, is seeking a Senior/Lead AI Engineer to join their AI Integration team. This role represents an exciting opportunity to work at the intersection of artificial intelligence and enterprise software, focusing on Large Language Models (LLMs) and prompt engineering.

The position demands a unique blend of backend engineering expertise and AI specialization, particularly in working with cutting-edge language models like GPT, BERT, and Llama. As a senior member of the team, you'll be responsible for designing and implementing robust APIs, optimizing LLM performance through advanced prompt engineering, and ensuring the scalability and security of AI solutions in a production environment.

The ideal candidate brings 5+ years of software development experience, with deep knowledge of Python and Java programming languages, REST-based API development, and both relational and non-relational databases. You'll work in a hybrid environment, with three days per week in the office, collaborating with cross-functional teams to deliver innovative AI solutions that transform how organizations leverage artificial intelligence in their workflows.

What makes this role particularly compelling is the opportunity to work with Salesforce's industry-leading AI technologies while contributing to solutions that impact millions of users worldwide. You'll be at the forefront of AI integration, working with the latest LLM technologies and helping shape the future of enterprise AI applications.

The position offers competitive compensation ranging from $172,000 to $276,100, reflecting the senior nature of the role and the expertise required. You'll be part of Salesforce's renowned culture that emphasizes innovation, customer success, and giving back to the community.

Key aspects of the role include designing and implementing API frameworks, developing customer-facing objects, and creating sophisticated prompt engineering solutions. You'll also be responsible for deploying LLM prompts into production systems while ensuring optimal performance and scalability.

The role requires a strong educational background in Computer Science, Data Science, or Machine Learning, combined with practical experience in enterprise software development. You'll need to demonstrate expertise in modern development practices, including Git, Jenkins, and Agile methodologies, while being comfortable participating in on-call rotations to maintain service reliability.

Join Salesforce's mission to help companies blaze new trails and connect with customers in entirely new ways through AI-powered solutions. This role offers the perfect blend of technical challenge, innovation opportunity, and the chance to make a significant impact in the enterprise AI space.