Full Stack AI Engineer

Key focus is G3 level expertise touching both frontend systems (BoQ Web & BoQ GOA) and backend infrastructure.

Work authorization: US Citizen (USC) or Green Card (GC) preferred; H1B is acceptable.

Requires proven hands-on work with AI agent frameworks and LLM integrations.

TOP HARD SKILLS

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

Backend Services (Go, Python, Java Flume, SQL, TS BoQ) – 3+ years

LLM Interaction & AI Agent Architectures – 1+ years

NICE-TO-HAVES

Data visualization toolkits (Vega-Lite, Charts)

Enterprise scale infrastructure (Java Flume)

Prior client-specific architectural experience

DISQUALIFIERS

Non-US-based candidates.

Lack of core backend experience in Go, Python, or Java.

Purely traditional web developers with zero exposure to modern AI/LLM integration.

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