AI Full Stack Engineer

Talent Voyager • Austin, TX

5h

About The Position

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. 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.

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)

Nice To Haves

• 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.)

Responsibilities

• Classify inbound messages by category, intent, urgency, and tone
• Generate contextual responses using enrichment data
• Implement human approval gates
• Transform raw enrichment data into structured pre-call briefs
• Generate: background, pain hypotheses, talking points, rapport hooks
• Vector database with embeddings
• Markdown-aware chunking
• Async ingestion workers
• Semantic search API
• Process RSS feeds, social media, video platforms, and search trends
• Generate reports, forecasts, and content drafts
• Run autonomously on scheduled jobs
• Multi-agent system (outline → audit → generate)
• Binary quality gates (PASS/FAIL with citations)
• Supports multiple content formats
• Enrich leads with product data and market insights
• AI scoring and qualification grading
• Automated audit reports
• 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

Benefits

• Competitive salary based on experience
• High-impact role with strong ownership
• Opportunity to scale cutting-edge AI systems to world-class level

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed