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Better Money Applied AI Engineer

DeCircle


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 24 September 2026 (16 hours ago)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

Job description

About Better Money

The next wave of stablecoin adoption is in payments. At Better Money were building a stablecoin clearinghouse designed to make stablecoins move like money not a trading asset.

Were a small ambitious NYC-based team backed by $10M from a16z Crypto and other exceptional partners building the infrastructure we believe will power the next generation of global payments.

The Role

Were looking for an Applied AI Engineer to bring modern AI capabilities into our products engineering workflows and financial infrastructure.

This is a hands-on engineering role focused on turning LLMs agents retrieval systems and AI-powered workflows into reliable production systems. Youll identify high-impact opportunities for AI prototype quickly evaluate what works and take successful ideas all the way into production.

What Youll Do

Youll design and ship AI-powered products agents internal tools and automated workflows across Better Money. Youll build systems around modern LLMs including tool calling RAG structured outputs context management and integrations with APIs and internal systems.

Youll also develop evaluation and monitoring frameworks to measure accuracy reliability latency and cost while designing appropriate guardrails for AI operating within financial infrastructure.

Working closely with Product and Engineering youll help determine where AI can meaningfully improve the product automate complex processes and give a small team significantly more leverage.

Why Better Money

Youll have the opportunity to define how AI is used from the ground up inside an early-stage financial infrastructure company with significant ownership and direct impact on both the product and how the company operates.

Job requirements

What Were Looking For

Youre a strong software engineer with experience shipping AI-powered products or production systems and hands-on knowledge of modern LLMs agents RAG tool calling and AI application architecture.

Youre comfortable with Python backend systems APIs and integrations and understand that production AI requires strong evaluation observability reliability and failure handling.

You thrive in ambiguity have strong product instincts and are comfortable taking ideas from initial experimentation through production with significant ownership.

Experience with fintech payments financial infrastructure stablecoins or blockchain is a strong plus but not required.

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