Applied AI Engineer
Abby Care · San Francisco, CA
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Jul 15, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
This role involves building AI-powered products and backend systems for a home care platform — including agents, intelligent workflows, and data pipelines that support caregivers, clinicians, and operational staff. The work spans the full development cycle: prototyping, dataset preparation, evaluation, and maintaining production systems that handle clinical documents, intake processes, billing, and compliance. It suits an engineer with at least two years of software or applied AI experience who wants to move beyond experimental work into reliable, real-world deployments.
Mid level · 2+ years · Remote · Full-time
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 100,500 people nationally plausibly meet what this posting asks for (software developers). range 42,300–151,000
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
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 job posting explicitly requires the candidate to reside in or relocate to the San Francisco Bay Area and describes the role as hybrid (4 days/week in-person). The caller has instructed remote=true and no metro be set, overriding the posting's stated location requirement — this discrepancy should be noted for the hiring manager.
The required skills section names no specific technologies beyond general categories (language models, ML models, modern AI APIs, backend development, APIs, data processing). Python, RAG, agent architectures, document intelligence, multimodal models, structured generation, model evaluation, monitoring, and prompt optimization are all explicitly listed as 'preferred but not required.'
Compensation is described only as 'competitive compensation packages' with no figures given.
The role sits between Applied AI/ML engineering (15-2051) and software development (15-1252); the emphasis on shipping production systems, backend services, APIs, and software engineering fundamentals tips the primary classification to Software Developers, with Data Scientists as a close runner-up.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software engineering, prompt optimization.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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