Full-Stack Engineer

Obin AI

New York (NY)

On-site

USD 150,000 - 200,000

Full time

14 days+
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Job summary

A pioneering AI enterprise in New York seeks a Full-Stack Engineer to help build and scale LLM-based applications. You will work directly with founders from Google and have significant ownership of technical decisions. Required experience includes 5–10 years in software engineering with expertise in Python and React, and comfort in fast-paced environments. This role offers a salary range of $150,000 to $200,000, depending on experience, along with potential equity opportunities.

Qualifications

  • 5–10 years of software engineering experience with production systems.
  • Strong product intuition and ability to design effectively.
  • Comfortable in ambiguous environments.

Responsibilities

  • Build enterprise-grade applications using React and Python.
  • Design end-to-end AI solutions based on client workflows.
  • Own full stack including architecture and deployment.

Skills

Python
React
Cloud services (AWS/Azure/GCP)
Databases
Data Engineering
Security
Logging
Observability

Education

STEM Degree

Job description

What We're Building. Obin AI builds AI agents that automate or assist core workflows in the financial services industry. We’re already working with some of the world’s largest financial services firms with sponsorship from senior leadership.
The Role: We're looking for Full-Stack Engineers who can help us build and scale LLM-based agentic applications from the ground up. You’ll join our team as one of our earliest hires. You'll work directly with the founders (ex-Google) and own key technical decisions from day one. You’ll ● Build Enterprise-Grade Applications using React and Python on public cloud● Design End-to-End AI Solutions with founders and clients, translating workflows into intuitive, production-ready products● Own the Full Stack — from architecting Python backend services to deploying production systems on AWS/Azure/GCP● Deploy in Real Customer Environments, ensuring performance, security, and observability standards are met● Move Quickly and Autonomously in a fast-paced, high-trust environment where decisions and contributions have immediate impact Experience Required: ● 5–10 years of software engineering experience, including strong ownership of production systems● Expertise with Python, Front End (React), Databases, Security, Data Engineering, Logging, Observability, Cloud (preferably multiple clouds)● Comfortable working in ambiguous, 0-1 environments● Strong product intuition and ability to design within systems — even without perfect mocks● Deep user empathy and customer focus — able to build solutions that are not just technically sound, but deeply aligned with real-world needs● Open to being a founding hire, working cross-functionally and client-facing Bonus If You Have ● Experience with fintech, enterprise SaaS, or regulated data systems● Experience building AI applications in production● Prior consulting or finance background● Led major technical initiatives or mentored engineers in the past● STEM Degree
$150,000 - $200,000 *depending upon experience
About Us: Obin AI is an enterprise artificial intelligence company building the next generation of agentic intelligence for financial services. The company develops a production-ready AI workforce that runs defined workflows end-to-end inside a firm’s controls and audit boundaries, encoding institution-specific logic and producing traceable, inspectable outputs. Because of its open, no-lock-in architecture and ability to resolve even nuanced edge cases, Obin AI is trusted by leading global financial institutions representing over $1 trillion in assets under management. Obin AI enables these organizations to standardize and accelerate their core workflows — continuous monitoring, scalable underwriting, and earlier risk detection — without scaling teams or compromising governance. Founded by seasoned leaders from Google AI, JPMorgan and Silver Lake, Obin AI is reimagining how financial firms operate — deploying AI workers directly within live workflows to expand decision capacity under institutional controls.



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