AI Full Stack Engineer

GigaBrands is an innovative company that has developed an AI-native internal platform for Amazon brand management. They are seeking an AI Full Stack Engineer to build, optimize, and scale AI-powered infrastructure across the full stack, focusing on AI communication pipelines, sales intelligence, and automated lead qualification. 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) Required Skills: Marketing & Advertising, Insider Connection @GigaBrands, 2 email credits available today, Beyond Your Network, Find More Connections, From Your Previous Company, Unlock, & 2 connections, Previously@undefined and..., From Your School, Unlock, & 2 connections, @undefined and..., Find Any Email, 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, Qualification, Production LLM experience, RAG system experience, TypeScript / Node.js, React skills, PostgreSQL, API integrations, Linux server experience, Multi-agent LLM systems, Slack API experience, Ad platform APIs, LLM observability, Amazon / eCommerce experience, AI-assisted dev tools