Automation AI Engineer
At GigaBrands · Mexico
- Data and ML
Where you can work from
Open to Mexico
“Mexico”
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- Posted
- 24 March 2026
- First seen by us
- 9 October 2026
- Last checked
- 18 hours ago
Job description
From GigaBrands’s job post, as they wrote it.
AI Full Stack Engineer
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
Read the full description
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 & Scale
AI 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
Requirements
Key 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)
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.)
Benefits
* Competitive salary based on experience
* High-impact role with strong ownership
* Opportunity to scale cutting-edge AI systems to world-class level
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