Join Rain as a Backend Engineer to build AI-powered features and scalable backend systems in a fast-growing fintech company.
Posted by employer 7 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 20 hours ago
AI in the day-to-day
Design and ship AI-powered features, agents, and automation into our core platform.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Backend Engineer will focus on developing and scaling backend systems, APIs, and data pipelines that enhance Rain's AI capabilities within its payment platform. Proficiency in Node.js and experience with production systems utilizing large language models are essential for success. This position is ideal for candidates with 3 to 8 years of experience who thrive in dynamic environments and enjoy tackling ambiguous challenges. As one of the first engineers on the new AI team, the individual will have a significant opportunity to influence the company's innovative direction.
Joblaze insights
Quick facts
From the original posting
You'll be one of the first engineers on Rain's new AI team. We're building from the ground up internal systems that make our operations smarter and customer-facing infrastructure at the intersection of AI agents, fintech, and stablecoins, including some of the first agentic payment systems in production. If you want to shape how AI gets built into a payments company, this is the role.
Be a critical part of the technical and product roadmap
Build and scale the backend systems, APIs, and data pipelines that power Rain
Design and ship AI-powered features, agents, and automation into our core platform
Build shared AI infrastructure: composable tool interfaces, eval frameworks, and permission-aware data access
Rapidly ship new capabilities to our customers and internal teams
Work embedded with the business, understand the workflows you're building for firsthand
Experience with Node.js and other backend technologies
1β3+ years building production systems that use LLMs, tool calling, structured outputs, prompt architecture, retrieval patterns
A builder mentality, someone who experiments with side projects
Comfortable with ambiguity, you can take a loosely defined problem, make decisions, and ship
This position is for folks with 3β8+ years of experience, compensation will be based on experience
Eval framework design, building systematic ways to measure AI quality
Fintech experience (neobank or card issuing experience gets extra brownie points)
Experience building internal tools or platform systems at a growth-stage company
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