Junior 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
Junior 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, SaaS, Sales Technology
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, AI-assisted dev tools
Technologies
TypeScript, Node.js, React, PostgreSQL, AWS Lambda, Terraform, Docker, Slack API, pgvector, Pinecone
Responsibilities
Classify and generate responses for inbound messages, maintain vector databases with embeddings, process RSS feeds and social trends, extend multi-agent systems, build AI scoring for leads, automate scheduling and email triage, debug classification errors, optimize LLM costs and latency, build dashboards for AI metrics.
Seniority
Junior, hands-on IC