Automation AI Engineer

GigaBrands; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary based on experience

High-impact role with strong ownership

Opportunity to scale cutting-edge AI systems

Job summary

GigaBrands is looking for an AI Full Stack Engineer to build and scale AI-powered infrastructure in Austin, Texas. You will work on diverse AI communication pipelines, automate lead qualifications, and improve content quality systems. Required skills include LLM production experience, TypeScript, Node.js, and strong React capabilities. Join us to be part of a high-impact role with opportunity to influence cutting-edge AI systems in our fast-growing platform.

Qualifications

• Experience building, optimizing, and scaling AI-powered infrastructure.
• Familiarity with RAG systems (embeddings, retrieval, chunking).
• Ability to debug classification errors in AI systems.

Responsibilities

• Build AI pipelines for client performance insights.
• Optimize LLM costs and performance.
• Expand content quality systems.

Skills

Production LLM experience (Claude/OpenAI in real systems)

3+ years TypeScript / Node.js

Strong React skills

PostgreSQL (queries, migrations, indexing)

API integrations (REST, OAuth, webhooks)

Linux server experience (SSH, logs, debugging, deployments)

Job description

AI Full Stack Engineer

We’ve built an AI-native internal platform that powers every aspect of our Amazon brand management business. AI isn’t a feature — it’s the backbone.

• LLMs classify and respond to inbound communications
• AI generates pre-call intelligence briefs from raw enrichment data
• A RAG system feeds context into every generation pipeline
• An AI checkpoint system audits all generated content against quality gates

The platform is already live and scaling fast:

• 17+ background services
• 130+ frontend pages
• 214 backend services
• 184 database tables
• Dozens of autonomous AI pipelines

We’re hiring an engineer who operates at the intersection of AI and production systems. You’ll build, optimize, and scale AI-powered infrastructure across the full stack.

What You’ll Build & Scale

AI Communication Pipelines

• Classify inbound messages by category, intent, urgency, and tone
• Generate contextual responses using enrichment data
• Implement human approval gates

AI-Powered Sales Intelligence

• Transform raw enrichment data into structured pre-call briefs
• Generate: background, pain hypotheses, talking points, rapport hooks

RAG System

• Vector database with embeddings
• Markdown-aware chunking
• Async ingestion workers
• Semantic search API

Trend Intelligence Engine

• Process RSS feeds, social media, video platforms, and search trends
• Generate reports, forecasts, and content drafts
• Run autonomously on scheduled jobs

Content Quality Pipeline

• Multi-agent system (outline → audit → generate)
• Binary quality gates (PASS/FAIL with citations)
• Supports multiple content formats

Automated Lead Qualification

• Enrich leads with product data and market insights
• AI scoring and qualification grading
• Automated audit reports

AI Executive Assistant

• Slack operations
• Scheduling workflows
• Email triage and follow-ups

Key Responsibilities

• Build AI pipelines for client performance insights
• Improve RAG retrieval quality
• Add tool use for real-time data in LLM pipelines
• Debug classification errors in AI systems
• Optimize LLM costs and performance
• Build dashboards for AI metrics and usage
• Add observability to pipelines
• Expand content quality systems

Qualifications

• Production LLM experience (Claude/OpenAI in real systems)
• RAG system experience (embeddings, retrieval, chunking, context handling)
• 3+ years TypeScript / Node.js
• Strong React skills
• PostgreSQL (queries, migrations, indexing)
• API integrations (REST, OAuth, webhooks)
• Linux server experience (SSH, logs, debugging, deployments)

Strong Pluses

• Multi-agent LLM systems
• Anthropic Claude expertise
• Vector search / embeddings
• Slack API experience
• Ad platform APIs (Meta, Google, LinkedIn)
• LLM observability (cost, tracing, monitoring)
• Amazon / eCommerce experience
• AI-assisted dev tools (Cursor, Claude Code, etc.)

• Competitive salary based on experience
• High-impact role with strong ownership
• Opportunity to scale cutting-edge AI systems to world-class level