Full-Stack Engineers

Obin AINew York, NY
1d

About The Position

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

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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
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