Full-Stack Product Engineer for AI Verification

Pramaana; Palo Alto (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Pramaana Labs is building the verification layer for AI from its Palo Alto headquarters. We seek a hands-on Product Engineer to turn research into customer-ready software across the stack.

You will own features from MVP to production and work across product, design, and research to make complex AI capabilities approachable and trustworthy. You'll collaborate with researchers to integrate models and verification services, while shaping workflows, data models, and APIs.

Qualifications

• 2–3 years of software engineering experience with shipped products.
• Strong full-stack fundamentals across frontend and backend.
• Proficiency with TypeScript, React, and REST/API design.
• Experience with authentication, authorization, and data privacy.
• Ability to break down problems and own features end-to-end.

Responsibilities

• Own frontend, backend, data models, integrations, and testing to deliver usable features.
• Build intuitive, accessible interfaces for users and developers.
• Develop reliable APIs and services for document processing and verification workflows.
• Collaborate with product, design, engineering, and research teams.
• Learn from users; instrument features with usage data to guide iteration.
• Write tests and monitor performance, security, and reliability as usage grows.
• Create reusable components and patterns for multiple products.

Skills

TypeScript

React

Python

Node.js

APIs

Relational databases

Testing

Authentication/Authorization

Tools

Frontend frameworks (React)

Job description

Pramaana Labs is building the verification layer for AI from its Palo Alto headquarters. We seek a hands-on Product Engineer to turn research into customer-ready software across the stack.

You will own features from MVP to production and work across product, design, and research to make complex AI capabilities approachable and trustworthy. You'll collaborate with researchers to integrate models and verification services, while shaping workflows, data models, and APIs.