The role involves building data pipelines and integrating client databases, APIs, and SaaS systems to feed AI features. You will be responsible for extracting, cleaning, and transforming messy real-world data into structured formats for RAG and agentic workflows.
Design and implement agentic workflows and RAG pipelines to ground AI outputs in real-time client data. Select appropriate LLMs for specific tasks and develop evaluation harnesses to ensure system reliability and correctness.
Build responsive web applications and internal tools using AI-native IDEs and prompt-to-app builders. Integrate these front-end builds with back-end AI services and document the process in Notion.
