Junior Full Stack Automation Engineer

Summary

GigFinder.ai is hiring a Junior Full Stack Automation Engineer to build and operate AI-powered production systems. The role focuses on developing LLM and RAG pipelines, automation workflows, backend services, frontend dashboards, observability, and integrations across the full stack.

Responsibilities

• Classify inbound messages by category, intent, urgency, and tone
• Generate contextual responses using enrichment data
• Implement and tune human approval gates
• Transform raw enrichment data into structured pre-call briefs
• Generate backgrounds, pain hypotheses, talking points, and rapport hooks
• Maintain and improve the vector database with embeddings
• Implement markdown-aware chunking strategies
• Build async ingestion workers and semantic search APIs
• Process RSS feeds, social media, video platforms, and search trends
• Generate reports, forecasts, and content drafts
• Run autonomously on scheduled jobs
• Extend the multi-agent system (outline ? audit ? generate)
• Maintain binary quality gates (PASS/FAIL with citations)
• Support multiple content formats across the pipeline
• Enrich leads with product data and market insights
• Build AI scoring and qualification grading systems
• Generate automated audit reports
• Build and maintain Slack-integrated operations
• Automate scheduling workflows
• Triage and respond to email autonomously
• Build and improve AI pipelines for client performance insights
• Improve RAG retrieval quality (re-ranking, chunking, hybrid search)
• Add tool use / function calling for real-time data in LLM pipelines
• Debug classification errors and improve model accuracy
• Optimize LLM costs, latency, and performance
• Build dashboards for AI metrics and usage monitoring
• Add observability and tracing to AI pipelines
• Expand content quality systems to new formats and use cases

Skills

• Production LLM experience Claude or OpenAI deployed in real, live systems
• RAG system experience embeddings, retrieval, chunking, and context handling
• 2+ years TypeScript / Node.js
• 2-3 years building end-to-end production systems spanning backend services, AI pipelines, and frontend dashboards
• Bachelor's degree in Computer Science
• Strong React skills (component architecture, state management, performance)
• PostgreSQL queries, migrations, indexing, query optimisation
• API integrations REST, OAuth, webhooks
• Linux server experience SSH, log analysis, debugging, deployments
• AWS Lambda, Terraform, and Docker experience
• Available during Eastern Time business hours
• Multi-agent LLM systems and orchestration
• Anthropic Claude expertise (prompt engineering, tool use, system prompts)
• Vector search and embeddings (pgvector, Pinecone, or similar)
• Slack API and bot development
• Ad platform APIs (Meta, Google, LinkedIn)
• LLM observability cost tracking, tracing, monitoring
• AI-assisted dev tools (Cursor, Claude Code, etc.)

Qualifications

Must Haves

• Production LLM experience Claude or OpenAI deployed in real, live systems
• RAG system experience embeddings, retrieval, chunking, and context handling
• 2+ years TypeScript / Node.js
• 2-3 years building end-to-end production systems spanning backend services, AI pipelines, and frontend dashboards
• Bachelor's degree in Computer Science
• Strong React skills (component architecture, state management, performance)
• PostgreSQL queries, migrations, indexing, query optimisation
• API integrations REST, OAuth, webhooks
• Linux server experience SSH, log analysis, debugging, deployments
• AWS Lambda, Terraform, and Docker experience
• Available during Eastern Time business hours

Nice to Haves

• Multi-agent LLM systems and orchestration
• Anthropic Claude expertise (prompt engineering, tool use, system prompts)
• Vector search and embeddings (pgvector, Pinecone, or similar)
• Slack API and bot development
• Ad platform APIs (Meta, Google, LinkedIn)
• LLM observability cost tracking, tracing, monitoring
• AI-assisted dev tools (Cursor, Claude Code, etc.)

Benefits

• High-impact role with genuine ownership over systems that matter
• Full time remote role
• Work directly on one of the most advanced AI-native business platforms in the Amazon space
• PTO after successfully completed probationary period