AI Engineer (Mid-Level) at Clera
$180,000–$400,000
Jul 27, 2026
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Jul 28, 2026
What this job asks for AI summary
An AI Engineer role on a core product team building agentic, LLM-powered systems that automate multi-step workflows in regulated industries such as healthcare, legal, and fintech. The work spans the full stack — RAG pipelines, multi-agent orchestration, evaluation/safety infrastructure, APIs, and frontend — from MVP through enterprise-grade production. Suited to engineers with hands-on experience shipping LLM-based services in production environments.
Mid level · 2+ years · Remote · Full-time
Pay in the description: $180,000–$400,000
“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 9,000 people nationally plausibly meet what this posting asks for (software developers). range 6,700–11,700
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 $138,970 (middle half $107,524–$175,762). 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 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The compensation range of $180K–$400K is unusually wide, likely reflecting flexibility across seniority levels despite the 'mid-level' framing in the title.
TypeScript and React are listed together as a single proficiency requirement ('TypeScript/React or equivalent'); they are emitted as separate skills since both are distinct technologies used in the stack.
AWS and GCP are presented as alternatives ('AWS or GCP') — AWS is listed as primary with GCP in alternatives.
LangGraph/CrewAI and Temporal/Trigger appear under the requirements section but are introduced with 'e.g.' qualifiers, signaling the specific tools are interchangeable examples; each pair is captured as a single skill with alternatives.
Fine-tuning, parameter-efficient tuning, and multi-modal model integration appear in the requirements section but are framed with 'familiarity with', making them softer gates; marked as preferred accordingly.
The role is described as remote-friendly with an optional office presence in San Francisco; treated as remote-eligible.
Visa sponsorship is explicitly not provided.
Read the full posting
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