New York, NY

Salary
Posted
Jul 21, 2026
Location
New York, NY
Last confirmed open
Jul 23, 2026

What this job asks for AI summary

A senior engineering role focused on building and running generative AI systems within a lending business. Day-to-day work spans designing reusable agentic workflows, document ingestion and data extraction pipelines, AI-powered content generation, and embedding AI assistants into existing lending platforms. The role also covers establishing LLMOps practices, security and governance controls, and carries a path toward owning enterprise-wide GenAI standards. Suits a seasoned engineer with deep hands-on experience in regulated-industry AI environments.

Senior level · 10+ years

Must have (7)
LangChainLLMsRAGPython or Javavector searchagentic workflowsdata ingestion pipelines

“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

What gives you an edge
LangChain6%vector search6%RAG8%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%

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).

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 (5)

The role is titled 'Applied AI Engineer' with no seniority modifier, but 10 years of software engineering experience is explicitly required — classified as Senior.

Python and Java are listed as interchangeable options ('Python or Java'); Python is emitted as the primary with Java as an alternative.

The posting is placed by a third-party client ('our client'), so employment type is unspecified — it could be full-time or contract.

SOC is Medium confidence: the role is primarily software development (building GenAI systems, pipelines, agentic workflows) but has a meaningful data-science/ML dimension; 15-2051 Data Scientists is the runner-up.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): prompt management.

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