Full Stack Automation Engineer
Core
Build, optimize, and scale AI-powered infrastructure including LLM pipelines, RAG systems, dashboards, and background workers for sales intelligence and content generation.
Role type
Senior Full Stack Automation Engineer (AI Infrastructure)
Builds
AI communication pipelines, sales intelligence systems, RAG systems, trend intelligence engines, content quality pipelines, automated lead qualification, and AI executive assistant tools.
Domain
AI/ML, Sales Intelligence, Content Generation, E-commerce/Amazon
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Production LLM deployment, RAG system design, TypeScript, Node.js, React, PostgreSQL, API integrations, Linux server management, AWS Lambda, Terraform, Docker
Preferred skills
Multi-agent LLM orchestration, Anthropic Claude expertise, Vector search (pgvector, Pinecone), Slack API, Ad platform APIs, LLM observability
Technologies
TypeScript, Node.js, React, PostgreSQL, AWS Lambda, Terraform, Docker, Slack API, pgvector, Pinecone
Responsibilities
Classify inbound messages and generate contextual responses; Transform raw data into structured pre-call briefs; Maintain vector databases and implement chunking strategies; Process RSS feeds and social media for trend reports; Extend multi-agent systems for content generation; Enrich leads with market insights and build scoring systems; Build Slack-integrated operations and automate scheduling workflows; Optimize LLM costs, latency, and performance; Build dashboards for AI metrics and usage monitoring.
Seniority
Senior, hands-on IC