Senior AI Engineer at DualEntry
New York, NY
$110,000–$160,000
Jul 17, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
An Applied AI Engineer role at an early-stage AI-native ERP startup, focused on designing and shipping production AI systems for finance and accounting workflows. Day-to-day work involves building agentic pipelines, RAG systems, and evaluation frameworks applied to structured financial data, with end-to-end ownership from model integration through cloud infrastructure. Suited to engineers with at least two years of hands-on production LLM experience and a strong backend foundation.
Mid level · 3+ years · New York-Newark-Jersey City, NY-NJ-PA · Full-time
Pay in the description: $110,000–$160,000
“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 1,100 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (software developers). range 580–1,450
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 $170,499 (middle half $133,523–$210,499). 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 (7)
The title 'Applied AI Engineer' carries no explicit seniority level, so the title states no level. The requirements gate on 3+ years in a technical role and 2+ years shipping production AI systems — consistent with a Mid-level engineer, not Senior, despite the high-ownership framing typical of early-stage startups.
SOC classification is a genuine judgment call: the role is primarily about building and shipping production AI/LLM systems (software engineering), but has a meaningful ML/AI systems flavor (15-2051). 15-1252 wins because the emphasis is on production systems, APIs, infrastructure, and end-to-end feature delivery rather than modeling or research.
Compensation is listed separately as base salary ($110,000–$160,000/yr) and equity ($35,000–$50,000/yr). Only the base salary is captured in the comp fields; the equity component cannot be represented as a standard comp figure.
Python appears in both the required section ('Proficiency in Python') and the Bonus Points section ('Familiarity with Python, Kotlin, Java, or TypeScript'). It is treated as required based on the explicit 'Proficiency in Python' gate in the main requirements block. Kotlin, Java, and TypeScript appear only under Bonus Points and are marked preferred.
'Agentic systems' and 'RAG pipelines' are named explicitly as production experience requirements and are treated as hard gates. 'Structured extraction' is a variant of the same LLM application work and is subsumed under LLMs rather than emitted as a separate skill.
PostgreSQL is called out only in the 'How You Operate' narrative section as a cultural/pragmatic example ('we use Postgres until it breaks'), not as a formal requirement — marked preferred.
No degree requirement is stated anywhere in the posting.
Read the full posting
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