Full Stack Automation Engineer

WHO WE AREWe'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 pipelinesOUR CORE VALUESBe A Moral HumanServe a higher purpose. Everything we build and every decision we make is grounded in doing the right thing.Improve 1% DailyStrive for 1% better every day. Consistent, compounding improvement is how we build world-class systems and teams.Extreme OwnershipOwn your actions. No excuses, no hand-offs as a crutch. If it's in your world, it's your responsibility.Solve Problems, Don't Create ThemEvery challenge has a solution. Don't slow down the team by creating new problems — come with answers, not blockers.Make an ImpactFocus on meaningful results. We measure success by the difference we make, not the hours we log.Fail Fast & Fail ForwardDon't be afraid to fail. Take that failure, learn from it, and move forward stronger. Every failure is a lesson.WHAT YOU'LL BUILD & SCALEAI Communication PipelinesClassify inbound messages by category, intent, urgency, and tone Generate contextual responses using enrichment data Implement and tune human approval gates AI-Powered Sales IntelligenceTransform raw enrichment data into structured pre-call briefs Generate backgrounds, pain hypotheses, talking points, and rapport hooks RAG SystemMaintain and improve the vector database with embeddings Implement markdown-aware chunking strategies Build async ingestion workers and semantic search APIs Trend Intelligence EngineProcess RSS feeds, social media, video platforms, and search trends Generate reports, forecasts, and content drafts • Run autonomously on scheduled jobsContent Quality PipelineExtend the multi-agent system (outline → audit → generate) Maintain binary quality gates (PASS/FAIL with citations) Support multiple content formats across the pipeline Automated Lead QualificationEnrich leads with product data and market insights Build AI scoring and qualification grading systems • Generate automated audit reportsAI Executive AssistantBuild and maintain Slack-integrated operations • Automate scheduling workflowsTriage and respond to email autonomously RequirementsDAY-TO-DAY RESPONSIBILITIESBuild and improve AI pipelines for client performance insights Improve RAG retrieval quality (re-ranking, chunking, hybrid search) Add tool use / function calling for real-time data in LLM pipelines Debug classification errors and improve model accuracy Optimize LLM costs, latency, and performance Build dashboards for AI metrics and usage monitoring Add observability and tracing to AI pipelines Expand content quality systems to new formats and use cases TECH STACKCore: TypeScript · Node.js · React / Next.js · n8n · PostgreSQL · CI/CD · Claude CodeNice to have: AWS Lambda · Terraform · Docker · Amazon SP-API · Slack Bots · PlaywrightQUALIFICATIONSRequired:Production LLM experience — Claude or OpenAI deployed in real, live systems RAG system experience — embeddings, retrieval, chunking, and context handling • 3+ years TypeScript / Node.jsStrong React skills (component architecture, state management, performance) PostgreSQL — queries, migrations, indexing, query optimisation API integrations — REST, OAuth, webhooks Linux server experience — SSH, log analysis, debugging, deployments Strong Pluses:Multi-agent LLM systems and orchestration Anthropic Claude expertise (prompt engineering, tool use, system prompts) Vector search and embeddings (pgvector, Pinecone, or similar) • Slack API and bot developmentAd platform APIs (Meta, Google, LinkedIn) LLM observability — cost tracking, tracing, monitoring • Amazon / eCommerce experienceAI-assisted dev tools (Cursor, Claude Code, etc.) WHAT WE OFFER• Competitive salary based on experienceHigh-impact role with genuine ownership over systems that matter • Full time remote roleWork directly on one of the most advanced AI-native business platforms in the Amazon space A team that moves fast, thinks big, and holds a high bar PTO after successfully completed probationary period BenefitsWHAT WE OFFER• Competitive salary based on experienceHigh-impact role with genuine ownership over systems that matter • Full time remote roleWork directly on one of the most advanced AI-native business platforms in the Amazon space A team that moves fast, thinks big, and holds a high bar PTO after successfully completed probationary period Originally posted on Himalayas