Ai Engineer x4
Aventis Solutions · Miami, FL
$155,000–$215,000
Jun 30, 2026
Miami, FL
Jul 20, 2026
What this job asks for AI summary
Mid level · Remote · Full-time
Pay in the description: $140,000–$215,000
“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 10,900 people nationally plausibly meet what this posting asks for (software developers). range 6,500–19,600
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 $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 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This is a recruiter/staffing-firm posting (Aventis Solutions) on behalf of an unnamed AI scale-up; the actual employer, team structure, and precise tech stack are not disclosed, which limits classification confidence.
The title 'AI Engineer' carries no explicit seniority level, and the JD states no minimum years of experience, so seniority is assessed as Mid based on the scope described (design, develop, deploy production AI applications on a team). The wide salary band ($140k–$215k) suggests the client may be open to a range of levels.
The 20%+ bonus and healthcare allowances are mentioned but not quantified; only the base salary range is captured in compensation fields.
The posting lists a London (UK) HQ but explicitly frames the role as US-remote with US tech hubs; the US-based flag is set true per the caller's instruction and the posting's own framing.
AI frameworks (LangChain, LlamaIndex, etc.) and vector databases appear under the same 'Key Skills' section but are framed with softer language ('Knowledge of', 'Understanding of') compared to the firmer language used for Python, LLMs, cloud, and data — treated as preferred accordingly.
Secondary programming languages (JavaScript, TypeScript, Java, C#, Go) are explicitly called 'advantageous' — treated as preferred with alternatives.
MLOps appears under 'Machine Learning' framed as 'familiarity with… MLOps principles' — treated as preferred.
The posting's closing note that the role 'could suit' a very broad range of personas (Data Engineer, Sales Engineer, DevOps, Data Analyst, etc.) is marketing language and does not affect skill or SOC classification.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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