Job Description

InfoHawk is building AI-assisted fraud detection that stops fraud as it runs, correlates data across platforms and formats, and surfaces it early for customers. We are a small team of engineers plus security, privacy and fraud specialists. You’d own data ingestion: scrapers and collectors that adapt to source changes, rely on official APIs where available, and handle undocumented endpoints when not. Sources break constantly. Help build AI-driven ways to spot changes and adapt automatically. Stack: TypeScript, Node, SvelteKit, Postgres, Playwright. Requirements: ~3-5 years building scraping or integration systems in production; UK-based for London, US-based for NYC; visa sponsorship not available. Two founders who are engineers in each city; you’ll work with them directly.