Remote Junior Full-Stack AI Automation Engineer

GigaBrands; United States; Remote; USD 28,000 - 39,000; Full time

Benefits offered by this job

PTO after probation

Full-time remote

High-impact ownership

Job summary

GigaBrands is seeking a Junior Full Stack Automation Engineer to operate at the intersection of AI and production systems. You will build, optimize, and scale AI-powered infrastructure across the full stack—from LLM pipelines and RAG systems to dashboards and background workers.

This high-ownership role hands you problems, not tickets. The position is remote in the United States with strong emphasis on TS/Node.js, React, PostgreSQL, and AWS-based tooling.

Qualifications

• Production LLM experience in live systems.
• RAG system experience: embeddings, retrieval, chunking, and context handling.
• 2+ years TypeScript/Node.js.
• 2-3 years building end-to-end production systems spanning backend services, AI pipelines, and frontend dashboards.
• Bachelor's degree in Computer Science.
• Strong React skills (component architecture, state management, performance).
• API integrations: REST, OAuth, webhooks.
• Linux server experience: SSH, log analysis, debugging, deployments.
• AWS Lambda, Terraform, and Docker experience.
• Available during Eastern Time business hours.

Responsibilities

• Build AI communication pipelines and contextual responses.
• Transform raw enrichment data into structured pre-call briefs and sales intel.
• Develop RAG components and embeddings workflows.
• Create dashboards and data-driven automation for client performance insights.
• Improve observability, tracing, and costs of AI pipelines.

Skills

LLM experience

TypeScript/Node.js

React

System design

REST APIs

OAuth

Linux

RAG embeddings

Education

Bachelor's degree in Computer Science

Tools

AWS Lambda

Terraform

Docker

PostgreSQL

Git

Job description

GigaBrands is seeking a Junior Full Stack Automation Engineer to operate at the intersection of AI and production systems. You will build, optimize, and scale AI-powered infrastructure across the full stack—from LLM pipelines and RAG systems to dashboards and background workers.

This high-ownership role hands you problems, not tickets. The position is remote in the United States with strong emphasis on TS/Node.js, React, PostgreSQL, and AWS-based tooling.