Key skills
Production LLM experienceRAG system experienceTypeScript / Node.jsReact skillsPostgreSQLAPI integrationsLinux server experienceMulti-agent LLM systemsSlack API experienceAd platform APIsLLM observabilityAmazon / eCommerce experienceAI-assisted dev toolsTypeScriptAILLMOpenAIClaudeAnthropicRAGReactNode.jsOAuth
About this role
GigaBrands has developed an AI-native internal platform that supports their Amazon brand management business. They are looking for an engineer to build, optimize, and scale AI-powered infrastructure across the full stack.
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
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)
- 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.)