We’re hiring a Full Stack Automation Engineer who operates at the intersection of AI and production systems. You’ll build, optimize, and scale AI-powered infrastructure across the full stack — from LLM pipelines and RAG systems to dashboards and background workers. This is a high-ownership role. You won’t be handed tickets. You’ll be handed problems and trusted to solve them.
WHAT YOU’LL BUILD & SCALE
AI Communication Pipelines
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Classify inbound messages by category, intent, urgency, and tone
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Generate contextual responses using enrichment data
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Implement and tune human approval gates
AI-Powered Sales Intelligence
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Transform raw enrichment data into structured pre-call briefs
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Generate backgrounds, pain hypotheses, talking points, and rapport hooks
RAG System
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Maintain and improve the vector database with embeddings
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Implement markdown-aware chunking strategies
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Build async ingestion workers and semantic search APIs
Trend Intelligence Engine
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Process RSS feeds, social media, video platforms, and search trends
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Generate reports, forecasts, and content drafts
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Run autonomously on scheduled jobs
Content Quality Pipeline
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Extend the multi-agent system (outline → audit → generate)
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Maintain binary quality gates (PASS/FAIL with citations)
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Support multiple content formats across the pipeline
Automated Lead Qualification
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Enrich leads with product data and market insights
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Build AI scoring and qualification grading systems
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Generate automated audit reports
AI Executive Assistant
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Build and maintain Slack-integrated operations
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Automate scheduling workflows
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Triage and respond to email autonomously
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Build and improve AI pipelines for client performance insights