Frontend Engineer - Amari AI

Pear VC•Austin, CA

18h•Onsite

About The Position

We are looking for a Frontend Engineer to help us scale our AI-driven platform. In this role, you will be the bridge between sophisticated backend data and the human operators who rely on it. You will be responsible for turning complex logistics workflows into crisp, high-performance product experiences. This is a high-leverage role for a builder who thrives in a high-growth environment and wants to own the evolution of a product that is already delivering real value.

Requirements

Experience: 3–5+ years of professional software engineering experience, ideally in a fast-paced, high-growth environment.
Frontend Proficiency: Deep skills in TypeScript, React, and Tailwind CSS, with the ability to build complex interfaces that make sophisticated data intuitive.
Full-Stack Competency: Strong command of Python for backend development and solid knowledge of SQL (PostgreSQL) for database design.
Execution Mindset: You write clean code, drive delivery, and "sweat the edge cases" to ensure a seamless user experience.
AI Curiosity: Familiarity with (or a strong desire to learn) integrating AI APIs and handling messy document inputs.
In-Person Collaboration: You are energized by working shoulder-to-shoulder with founders and engineers in our San Francisco office.

Responsibilities

Ship at Startup Speed: Move from conceptual wireframes to production-ready features within tight cycles, maintaining high velocity without sacrificing code quality.
Build Data-Heavy Interfaces: Design and maintain responsive dashboards using TypeScript, React, and Tailwind CSS that handle real-time logistics data at scale.
Human-in-the-Loop Design: Build intuitive interfaces for operations teams that make AI-driven workflows transparent, explainable, and easy to manage.
End-to-End Ownership: Take full ownership of the product lifecycle, from technical discovery and scoping to production monitoring and optimization.
Collaborate on AI Features: Partner with the engineering team to ship AI features that operators trust, defining quality bars for accuracy and confidence.