Senior AI Engineer, Agentic Data Enrichment
Baselayer · San Francisco, CA
$230,000–$340,000from the description
Jun 30, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
This role focuses on building and owning LLM-driven agent pipelines that enrich business identity data by crawling, searching, and extracting structured evidence from the open web. The work spans industry classification, web-presence verification, individual-to-business linking, and risk scoring — all treated as production data infrastructure. It suits an engineer with hands-on experience shipping agentic AI systems, browser automation, and eval methodology in real production environments.
Senior level · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,300 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 1,200–2,950
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $190,744 (middle half $167,095–$224,501). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is titled 'Senior AI Engineer' and is squarely focused on shipping LLM-driven agent pipelines to production — classified as Software Developers (15-1252). Data Science (15-2051) is a plausible runner-up given the graph AI, fraud modeling, and eval methodology work, but the primary day-to-day output is production software.
No specific total years of experience are stated; the seniority signal comes from scope (end-to-end ownership, on-call, cost control, eval methodology) rather than a year count.
'LLM agent frameworks' is listed as a hard gate ('at least one agent framework'); no specific framework is named in the requirements, so no alternatives are enumerated — specific frameworks (LangSmith, Braintrust) appear only under 'What Sets You Apart' and are marked preferred.
'Browser automation' is a hard gate from the Minimum Requirements section; devtools-protocol-level experience appears only under 'What Sets You Apart' and is captured as part of the preferred web scraping cluster rather than a separate gate.
Compensation is stated as a salary range of $230,000–$340,000 plus equity; equity is not quantified.
Role is hybrid (4 days/week in SF office); fully remote is not an option.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): browser automation.
Read the full posting
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