Full Stack Automation Engineer

Company: GigaBrands

Who We Are
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
OUR CORE VALUES
Be A Moral Human
Serve a higher purpose. Everything we build and every decision we make is grounded in doing the right thing.
Improve 1% Daily
Strive for 1% better every day. Consistent, compounding improvement is how we build world-class systems and teams.
Extreme Ownership
Own 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 Them
Every challenge has a solution. Don't slow down the team by creating new problems — come with answers, not blockers.
Make an Impact
Focus on meaningful results. We measure success by the difference we make, not the hours we log.
Fail Fast & Fail Forward
Don't be afraid to fail. Take that failure, learn from it, and move forward stronger. Every failure is a lesson.
What You'll Build & Scale
AI Communication Pipelines
* Classify inbound messages by category, intent, urgency, and tone
* Generate contextual responses using enrichment data
* Implement and tune human approval gates
AI-Powered Sales Intelligence
* Transform raw enrichment data into structured pre-call briefs
* Generate backgrounds, pain hypotheses, talking points, and rapport hooks
RAG System
* Maintain and improve the vector database with embeddings
* Implement markdown-aware chunking strategies
* Build async ingestion workers and semantic search APIs
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
* Extend the multi-agent system (outline → audit → generate)
* Maintain binary quality gates (PASS/FAIL with citations)
* Support multiple content formats across the pipeline
Automated Lead Qualification
* Enrich leads with product data and market insights
* Build AI scoring and qualification grading systems
* Generate automated audit reports
AI Executive Assistant
* Build and maintain Slack-integrated operations
* Automate scheduling workflows
* Triage and respond to email autonomously
Requirements
DAY-TO-DAY RESPONSIBILITIES
* Build 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 STACK
Core: TypeScript
* Node.js
* React / Next.js
* n8n
* PostgreSQL
* CI/CD
* Claude Code
Nice to have: AWS Lambda
* Terraform
* Docker
* Amazon SP-API
* Slack Bots
* Playwright
Qualifications
Required:
* Production LLM experience — Claude or OpenAI deployed in real, live systems
* RAG system experience — embeddings, retrieval, chunking, and context handling
* 3+ years TypeScript / Node.js
* Strong 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 development
* Ad platform APIs (Meta, Google, LinkedIn)
* LLM observability — cost tracking, tracing, monitoring
* Amazon / eCommerce experience
* AI-assisted dev tools (Cursor, Claude Code, etc.)
What We Offer
* Competitive salary based on experience
* High-impact role with genuine ownership over systems that matter
* Full time remote role
* Work 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
Benefits
WHAT WE OFFER
* Competitive salary based on experience
* High-impact role with genuine ownership over systems that matter
* Full time remote role
* Work 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

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