Baselayer
Financial Services
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at Baselayer. Skills: LLM-driven agents, production data pipeline, agent infrastructure, eval methodology, browser automation, web scraping at scale, cost/latency optimization. Own industry/category classification of businesses from heterogeneous signals. Build and maintain discovery and verification systems for a business's real web presence”
What You'll Achieve.
make those decisions faster and more accurately; eliminate business fraud and lower the cost of trust across the financial system
Industry & Context.
AI business identity platform; LLM-driven agents that crawl, click, search, and extract structured evidence from across the web
real on-call, Based in NYC or hybrid 3-5 days/week in office, meet in the office 3-5 days a week
What They're Looking For.
Must Have
Shipped LLM-driven agents to production, async Python including structured-data libraries, modern web frameworks, and relational databases, Experience across multiple frontier LLM providers and at least one agent framework, with deep knowledge of failure modes, Built or maintained eval methodology: curated golden datasets, scoring functions, labelling guidelines, regression diagnostics, Browser automation experience: headless browsers, anti-bot evasion, authenticated flows, Holds informed opinions on structured-output reliability - when to use JSON-schema mode vs. function calling vs. extractor-on-top-of-text
Nice to Have
Web scraping at scale: anti-bot evasion, residential proxies, request fingerprinting, authenticated flows, CDN defeats, Eval-framework experience (e.g., LangSmith, Braintrust, Evals, or custom), Entity resolution / record linkage / fuzzy matching at scale, Browser-automation experience at the devtools-protocol level, Built a tool registry or toolset abstraction over multiple LLM providers, Cost/latency optimization: response caching, semantic caching, model routing (cheap-first then escalate), thinking-budget tuning, prompt-cache hit-rate work
What You'll Do.
Own industry/category classification of businesses from heterogeneous signals
Build and maintain discovery and verification systems for a business's real web presence
Link individuals to businesses via public web evidence
Develop risk/legitimacy scoring derived from web-presence signals
Build and evolve the shared agent infrastructure
prompt and tool engineering
and cost control across your enrichment surface
How You'll Work.
Team & Collaboration
work closely with customers; working side by side with experienced founders and team members
Communication Scope
communicate directly; radical candor
Full Job Description
ABOUT BASELAYER Every day, financial institutions make consequential decisions about which businesses to onboard, extend credit to, and trust. Baselayer exists to make those decisions faster and more accurately. Our AI business identity platform is trusted by more than 2,200 financial institutions to verify any business, automate KYB, and monitor real-time risk. Our mission is to eliminate business fraud and lower the cost of trust across the financial system. ABOUT THE TEAM The team at Baselayer is built around people who care about getting things done right. We work closely with customers who have real compliance requirements and a limited tolerance for error, which means we move deliberately, communicate directly, and hold ourselves to a high standard. If you're someone who loves to take ownership and cares about the quality of what ships, let's chat! ABOUT THE ROLE Baselayer answers questions the loan application didn't ask. For every business that crosses our queues, we need to know things that aren't on the form: what the business actually does, where it actually lives on the web, whether the people it names match the public record, and whether anything across the open web contradicts the story we were told. We answer those questions with LLM-driven agents that crawl, click, search, and extract structured evidence from across the web - and we treat this as a production data pipeline, not a research demo. We're 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, and 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 we
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