Senior AI Engineer, Agentic Data Enrichment

Responsibilities

• Own industry and category classification of businesses from heterogeneous signals, including names, websites, directory presence, and reviews.
• Build and maintain discovery and verification systems for businesses' real web presence, filtering aggregators, parked domains, brand collisions, and impersonators.
• Link individuals to businesses using public web evidence.
• Develop risk and legitimacy scoring from web-presence signals for downstream underwriting.
• Build and evolve shared agent infrastructure, including provider-agnostic base agents, tool registries, evaluation harnesses, and token-and-tool tracing instrumentation.
• Own model selection, agent design, prompt and tool engineering, evaluation methodology, and cost control.

Requirements

• Production experience shipping LLM-driven agents with real users, costs, failure modes, and on-call responsibilities.
• Strong asynchronous Python experience with structured-data libraries, modern web frameworks, and relational databases.
• Experience with multiple frontier LLM providers and at least one agent framework.
• Experience building or maintaining evaluation methodology, including golden datasets, scoring functions, labeling guidelines, and regression diagnostics.
• Browser automation experience with headless browsers, anti-bot evasion, and authenticated flows.
• Strong understanding of structured-output reliability, including JSON Schema mode, function calling, and text extraction.

Nice-to-Haves

• Web scraping at scale, including residential proxies, request fingerprinting, authenticated flows, and CDN defeats.
• Evaluation frameworks such as LangSmith, Braintrust, Evals, or custom systems.
• Entity resolution, record linkage, or fuzzy matching at scale.
• Browser automation at the DevTools Protocol level.
• Tool registry or toolset abstraction experience across multiple LLM providers.
• Cost and latency optimization through response caching, semantic caching, model routing, thinking-budget tuning, and prompt-cache optimization.

Compensation and Benefits

• Salary: $230,000–$340,000 plus equity.
• Flexible PTO.
• 100% company-paid health, dental, and vision premiums.
• 401(k) with company match.
• HSA contributions on applicable plans.
• $250 monthly gym stipend.