AI Engineer
Point Predictive · San Diego, CA
$115,000–$125,000
Jul 15, 2026
San Diego, CA
Jul 20, 2026
What this job asks for AI summary
Senior level · 5+ years · San Diego-Chula Vista-Carlsbad, CA · Full-time
Pay in the description: $115,000–$125,000
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 65 people in the San Diego-Chula Vista-Carlsbad, CA area plausibly meet what this posting asks for (software developers). range 15–95
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
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 $166,860 (middle half $131,418–$198,246). 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 is titled 'AI Engineer' with no seniority modifier, but the requirements gate on 5+ years of software engineering experience (including 2+ years in applied AI/LLM/ML), which supports a Senior classification.
SOC classification is Medium confidence: the role is primarily about building production AI/LLM applications (software development), but has meaningful data-pipeline and ML-evaluation responsibilities that could also point to Data Scientists (15-2051).
The degree requirement is listed as 'We prefer a Bachelors or Masters degree…' — this is a preference, not a hard gate, so the degree requirement is set to None.
A background in financial services, lending, insurance, or fraud detection is described as 'a strong advantage' — this is a preferred signal, not a hard gate, and names no specific technology, so it is not emitted as a skill.
AWS Comprehend, Textract, SageMaker, and Snowflake ML features are explicitly called out as 'a plus' and are marked as preferred accordingly.
The Snowflake Connector is listed alongside Boto3 and LangChain as examples of cloud SDKs/orchestration frameworks; it is captured under the broader Snowflake skill rather than emitted separately, as it is a sub-component of Snowflake connectivity rather than a standalone product.
Read the full posting
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