Job Title: AI Full Stack Engineer

Company Name: GigaBrands

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/700sk1vqnjmwekfg

Job Description: Posted 13h agoAI Full Stack Engineer@ GigaBrandsView All JobsWebsiteAustin, Texas, United StatesRemoteFull TimeResponsibilities:building pipelines, improving retrieval, integrating toolsRequirements Summary:3+ years TypeScript/Node.js, strong React, PostgreSQL, API integrations, Linux experience; production LLM experience; remote work capability.Technical Tools Mentioned:TypeScript, Node.js, React, PostgreSQL, REST, OAuth, Linux
AI Full Stack EngineerWe’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 & ScaleAI 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 RequirementsKey ResponsibilitiesBuild 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 QualificationsProduction 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.) BenefitsCompetitive salary based on experience High-impact role with strong ownership Opportunity to scale cutting-edge AI systems to world-class level