AI Engineer

• Develop, test, and refine prompts across various LLMs to improve performance, reliability, and usability.
• Collaborate with product owners to share insights and influence AI use case design.
• Build Retrieval-Augmented Generation (RAG) systems leveraging structured and unstructured datasets.
• Contribute to machine learning training workflows and assist in integrating AI with core data systems (e.g., Snowflake, S3).
• Work closely with a third-party contractor to implement MLOps pipelines using cloud tooling.
• Support scalable deployment of AI services across core product areas.
• Use AWS AI services (or equivalents in GCP or Azure) to manage and deploy AI-powered solutions at scale.
• Help define templates and reusable components for future AI use cases.
• Focus on core AI building blocks (no UI development).

AI Engineer

Lead AI Engineer

Team Lead, AI Engineer

AI Developer

Salesforce AI Architect

AI Engineer