Senior AI & Data Intelligence Engineer at Seekeasy
San Francisco, CA
$150,000–$200,000from the description
Jul 13, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
This role centers on building and maintaining an AI-powered intelligence platform that processes social media signals and restaurant data to surface business insights. Day-to-day work spans designing AI workflows and prompt engineering strategies, constructing data pipelines and dashboards, and monitoring data quality. It suits a senior data or AI engineer with broad experience across analytics engineering, data science, or machine learning who is comfortable operating independently in an early-stage startup.
Senior level · 6+ years · Remote · 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 1,450 people nationally plausibly meet what this posting asks for (data scientists). range 610–2,600
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). 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 (6)
The role blends Data Science, Analytics Engineering, and Data Engineering roughly equally — the primary day-to-day emphasis on AI workflows, LLM-based intelligence, and analytical modeling tips it toward Data Scientists (15-2051), but a strong case exists for Database/Data Architects (15-1243) given the pipeline and data-platform scope.
The job posting explicitly requires the candidate to live in the San Francisco Bay Area and commute to the SF office; the caller has overridden this to remote=true with a national candidate pool, so no metro has been set.
LangGraph and LangChain are listed as interchangeable examples ('LangGraph, LangChain, or similar technologies') under the qualifications section; LangGraph is emitted as the primary skill with LangChain as an alternative.
Model Context Protocol (MCP) appears in the qualifications list alongside LangGraph/LangChain as part of the same 'or similar' grouping; it is subsumed under the LangGraph/AI agents skills rather than emitted separately to avoid over-fragmenting what is a single compound requirement.
No formal degree is mentioned anywhere in the posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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