[Hiring] AI Full Stack Engineer @Talent Voyager

Role Description

We are hiring an AI Full Stack Engineer on behalf of our Client, a fast-growing marketing agency based in the United States, specializing in the Amazon ecosystem. They’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

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
• 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)

Requirements

• 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