Remote Frontend AI Engineer — Build AI-Driven Web Apps

Aimlroles; Northern (KY); Hybrid; USD 118,000 - 147,000; Full time

Benefits offered by this job

Paid parental leave

Flexible time off

Spending accounts

Medical insurance

Dental insurance

Vision insurance

Sabbatical after 5 years

Job summary

G-P seeks a Front End AI Engineer to build AI-powered web applications with a strong frontend focus and design sense. You will work on modern frameworks like React/Next.js and integrate LLMs to deliver scalable, user-centric products.

You'll collaborate with cross-functional teams, shape product features, and own parts of the frontend and AI workflows, contributing to the G-P Gia product suite and cloud-based deployments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience with fullstack web development using React, Next.js, or TypeScript.
• Strong UX design sense for intuitive AI product interfaces.
• Proven experience integrating Generative AI, LLM APIs (OpenAI, Anthropic, Bedrock) and vector databases.
• Backend development with Python, NodeJS, or Go and RESTful APIs.

Responsibilities

• Design, develop, and deploy scalable AI-driven web applications with a frontend focus.
• Collaborate with product managers, designers, and data scientists to deliver user-centric features.
• Contribute to architecture decisions and work with Python, NodeJS, Go and AWS-based cloud infrastructure.

Skills

React

Next.js

TypeScript

UX Design

Generative AI

LLM APIs

RESTful APIs

Python

Node.js

Go

CI/CD

AWS

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS

Python

Node.js

Go

Vector databases

Job description

G-P seeks a Front End AI Engineer to build AI-powered web applications with a strong frontend focus and design sense. You will work on modern frameworks like React/Next.js and integrate LLMs to deliver scalable, user-centric products.

You'll collaborate with cross-functional teams, shape product features, and own parts of the frontend and AI workflows, contributing to the G-P Gia product suite and cloud-based deployments.