AI Fullstack Engineer – Build Real-World Systems

Revin•New York, NY

3d•Onsite

About The Position

We’re hiring a Fullstack Engineer to build the systems that turn AI into reliable, real-world products used by operators running $100M+ businesses. This is a high-ownership, high-impact role for engineers who want to work on applied AI in the real world where reliability, performance, and user experience matter. You should be comfortable owning problems end-to-end — from backend systems to frontend UX — and shipping quickly in production. You will work across the stack, from agent logic and data pipelines to customer-facing tooling and omni-channel delivery. You’ll work with messy, real-world data and systems — not clean datasets or controlled environments. You will partner closely with product, design, and leadership to ship fast, iterate in production, and directly influence the direction of the platform.

Requirements

An engineer with 3–8 years of fullstack experience shipping products at a startup, high-velocity, or AI-driven company
Someone with top-tier education in a highly selective and academically rigorous environment and/or experience at top-performing SaaS or AI companies. Advanced degrees are a plus
A customer-obsessed go-getter who wants to be in the field, getting as close to the product as possible
An ambitious builder who wants to build a generational product
A continuous learner comfortable operating in ambiguity. You ship, learn, adapt, and are constantly looking for new information
Fluent in Python, React, and TypeScript, comfortable working with REST APIs and cloud-based architectures, and able to move up the stack when needed
Comfortable testing and debugging APIs, tracing issues, and working with event-driven systems and unstructured data pipelines

Nice To Haves

Bonus if you have built or deployed LLM frameworks, language models, or AI agents in production environments

Responsibilities

Build and scale production AI systems, including agent orchestration, data pipelines, and customer-facing applications
Design systems to handle unstructured data and event-driven workflows
Improve conversation quality and internal agent tooling used by onboarding and customer success teams
Optimize the omni-channel experience across SMS, email, and voice
Contribute to evaluation frameworks for AI agents to improve accuracy and reduce errors
Work closely with product and design to ship quickly, test in production, and iterate based on real customer feedback