Baselayer is building the identity layer for institutions across the United States: a graph that connects businesses with the people behind them by fusing public records, IRS data, sanctions lists, web signals, and fraud telemetry from 2,200+ financial institutions into a single source. The Agentic Economy team is defining the standards for agent-based trust, with verifiable credentials and real-time verification APIs. We are hiring a Senior AI Engineer to own a slice of this enrichment surface end-to-end.

What you'll do: - Own industry/category classification of businesses from heterogeneous signals (name, website, directory presence, reviews). - Build and maintain discovery and verification systems for a business's real web presence — filtering aggregators, parked domains, brand collisions, impersonators. - Link individuals to businesses via public web evidence (e.g., confirming a named officer or employee genuinely works there). - Develop risk/legitimacy scoring derived from web-presence signals, fed back into underwriting. - Build and evolve the shared agent infrastructure: provider-agnostic base agents, shared toolset registry (browser navigation, search, scraping, structured database lookups, scoring), eval harness, and instrumentation surface for token-and-tool tracing. - Own model selection, agent design, prompt and tool engineering, eval methodology, and cost control across your enrichment surface.

Minimum requirements: - Shipped LLM-driven agents to production — not notebooks, not demos. Real users, real cost, real failure modes, real on-call. - Strong async Pyt

Baselayer is building the identity layer for institutions across the United States: a graph that connects businesses with the people behind them by fusing public records, IRS data, sanctions lists, web signals, and fraud telemetry from 2,200+ financial institutions into a single source. The Agentic Economy team is defining the standards for agent-based trust, with verifiable credentials and real-time verification APIs. We are hiring a Senior AI Engineer to own a slice of this enrichment surface end-to-end.

What you'll do: - Own industry/category classification of businesses from heterogeneous signals (name, website, directory presence, reviews). - Build and maintain discovery and verification systems for a business's real web presence — filtering aggregators, parked domains, brand collisions, impersonators. - Link individuals to businesses via public web evidence (e.g., confirming a named officer or employee genuinely works there). - Develop risk/legitimacy scoring derived from web-presence signals, fed back into underwriting. - Build and evolve the shared agent infrastructure: provider-agnostic base agents, shared toolset registry (browser navigation, search, scraping, structured database lookups, scoring), eval harness, and instrumentation surface for token-and-tool tracing. - Own model selection, agent design, prompt and tool engineering, eval methodology, and cost control across your enrichment surface.

Minimum requirements: - Shipped LLM-driven agents to production — not notebooks, not demos. Real users, real cost, real failure modes, real on-call. - Strong async Pyt