AI Full Stack Engineer

GigaBrandsAustin, TX
9h

About The Position

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.

Requirements

  • 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)

Nice To Haves

  • 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.)

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

Benefits

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