AI & Data Engineer
Mercator, San Francisco
About the job
Company Description
Mercator is building AI agents that coordinate global supply chains. Today’s systems leak $1.7T in waste each year in retail alone - in overproduction, lost revenue, and unnecessary emissions.
Mercator’s founders are seasoned technical operators with a decade of experience leading cutting-edge AI and simulation efforts across Google (Gemini, Tensorflow, & Google X). We recently raised $5M in seed funding from leading Silicon Valley investors and are scaling our small, elite engineering team to meet growing customer demand.
Role Description
As Mercator’s first AI/Data Systems engineer, you’ll build the core pipelines that transform messy, unstructured inputs into clean, structured, reliable data that powers our entire product. This is one of the most business-critical roles at the company: every simulation, every feature, and every customer decision relies on the accuracy and intelligence of the systems you build.
You’ll own end-to-end ingestion and reasoning: extracting data from varied sources, interpreting and mapping it into structured schemas, reconciling inconsistencies, validating correctness, and indexing it for retrieval and grounding. You’ll design LLM-driven reasoning workflows, build RAG pipelines, and architect the gold-standard data store that becomes the trusted source for everything downstream.