Full Stack AI Engineer

OVERVIEW

The G3 Full Stack AI Engineer will join an innovative team focused on building high-performance AI-driven web applications and scalable backend services. The role involves designing dynamic user interfaces, developing robust data processing and analytics pipelines, and integrating modern AI agent architectures and Large Language Model (LLM) interfaces.

DAY-TO-DAY RESPONSIBILITIES

Architect and implement front-end interfaces using modern web frameworks and technologies (HTML, CSS, JS, TSX, Lit, Angular, Wiz).

Build and maintain scalable backend microservices and databases utilizing Go, SQL, Python, Java Flume, and TS BoQ.

Design and implement data analytics and interactive visualizations to deliver clear user insights using tools like Vega-Lite and Charts.

Integrate Large Language Models (LLMs) and build autonomous AI agent architectures into existing system workflows.

Collaborate with cross-functional teams to engineer end-to-end applications supporting BoQ Web and BoQ GOA platforms.

Ensure high code quality, system performance, security, and scalability across all tier levels.

TOP 3 REQUIRED SKILLS

Full Stack Web Development (HTML/CSS/JS/TSX with Lit, Angular, or Wiz) 3+ years

Backend Engineering (Go, Python, Java Flume, SQL) 3+ years

AI Architectures & LLM Integration 1+ years

ADDITIONAL DESIRED SKILLS

Data Visualization & Analytics (Vega-Lite, Charts)

Experience with TS BoQ and specialized web infrastructure

Knowledge of Google/Enterprise-grade software stack frameworks

IDEAL CANDIDATE PROFILE

The ideal candidate is a proactive, US-based Senior Full Stack Engineer with strong foundational backend and frontend capabilities complemented by practical experience in modern AI agent integration. They possess deep analytical problem-solving skills, work comfortably in distributed remote environments, and bring high adaptability to rapidly evolving AI technical stacks.

Job Responsibilities

Design, build, and maintain full-stack web applications and scalable back-end services.

Integrate Large Language Models (LLM) and develop AI agent-driven features into production environments.

Create interactive data visualisations and analytics dashboards to display complex insights clearly.

Collaborate with engineering teams to ensure optimal application performance, reliability, and security.