About the role
AI Engineer at Starbridge, an early-stage company building AI for go-to-market teams selling into the public sector. Government buyers signal their priorities constantly (council meetings, budget documents, RFPs, public records), but that intelligence is scattered across thousands of sources and impossible to track by hand.
Starbridge's platform surfaces those signals, connects them to the right buyers and turns them into pipeline. As an AI Engineer you would build and scale the AI systems that extract, structure and reason over huge volumes of unstructured public-sector data. It suits someone who wants to build production AI end to end at an early, fast-moving company defining a category.
Highlights
- Build and scale AI systems that extract, structure and reason over unstructured public-sector data
- Build production AI end to end at an early, fast-moving company defining a category
- Remote across EMEA or LATAM
- The differentiator is the data: turning messy public records into usable sales intelligence with LLMs and retrieval
This recap is dataskew's editorial summary, not the company's copy.