Senior Full-Stack Engineer — AI-Driven DataOS Platform

Setpoint; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Stock options

Medical coverage

Dental coverage

Vision coverage

401(k)

Disability insurance

Flexible vacation

Job summary

Setpoint is building DataOS, the operating system for data and documents in asset-backed lending, enabling trusted, verifiable workflows for lenders and originators. The company operates across Austin, NYC, and Salt Lake City with hybrid roles and in-office days.

We seek a Senior Full Stack Engineer to own end-to-end development of high-impact features, including AI-driven document review and data verification, while upholding data integrity and compliance.

Qualifications

• 5+ years of full-stack software engineering with production systems.
• Proficiency in Python/Flask, TypeScript/React, Tailwind CSS, data warehouses, and AI tools.
• Experience in rotating on-call shifts and production issue triage.
• Strong ownership mindset from inception to completion.
• Ability to prototype quickly and iterate with tight feedback loops.

Responsibilities

• Build end-to-end features across the stack from design through launch.
• Deliver client-facing and high-impact features, including AI-driven workflows.
• Collaborate with Product, Finance, and Leadership to shape the roadmap.
• Invest in internal user experience and productivity tooling.
• Partner with cross-functional teams to clarify scope and ensure impactful delivery.

Skills

Full-stack development

Python/Flask

TypeScript/React

Tailwind CSS

Data Warehouses

AI/LLM technologies

Job description

Setpoint is building DataOS, the operating system for data and documents in asset-backed lending, enabling trusted, verifiable workflows for lenders and originators. The company operates across Austin, NYC, and Salt Lake City with hybrid roles and in-office days.

We seek a Senior Full Stack Engineer to own end-to-end development of high-impact features, including AI-driven document review and data verification, while upholding data integrity and compliance.