Baselayer

Senior AI Engineer, Agentic Data Enrichment

San Francisco, California · Senior

Sponsorship not specified$230k-$340kDetected 8 days ago

PythonLLMsResearch

About the role

Baselayer answers questions the loan application didn't ask.
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 solving real-time entity resolution at a scale no one else has cracked - fusing dozens of data sources into a single business identity graph and resolving any entity in milliseconds.

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.
Develop risk/legitimacy scoring derived from web-presence signals, fed back into downstream 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.
Career rocket fuel: You'll help build the foundation of a high-growth startup, working side by side with experienced founders and team members who've done it before.

Experience across multiple frontier LLM providers and at least one agent framework, with deep knowledge of failure modes.

Salary Range: $230,000 - $340,000 + Equity
Competitive compensation: We pay well and back it with equity. We want you to think and act like an owner.

401(k) with company match: We match your contributions so your future self benefits too
Time off when you need it: Flexible PTO so you can recharge without red tape.
Competitive compensation: We pay well and back it with equity.
Benefits on us: We cover 100% of your health, dental, and vision premiums.
HSA contributions included: We contribute to your HSA on applicable plans, so your coverage works as hard as you do
Stay healthy, stay sharp: A $250 monthly gym stipend to help you bring your best self to work, and everywhere else

It's a graph AI problem, a retrieval problem, and a fraud-modeling problem stacked on top of each other.
The technical depth is real.
You'd be joining a small team where the data moat is defensible, the research problems are open, and the infrastructure you build becomes load-bearing for businesses.
Ownership is real.
Velocity is real.
There's no layer of process between an idea and shipping it.
We're at an inflection point - the graph is built, the match rates speak for themselves, and the hardest problems are still ahead: graph embeddings, fraud propagation models across the business network, real-time traversal at sub-100ms latency, and expanding the identity layer beyond finance into every platform that needs to trust a business.
If you want to work on something foundational - the kind of infrastructure that gets built once and everything else runs on top of - this is it.

This listing is sourced directly from Baselayer's careers page and normalized into a canonical job model.