Full Stack Automation Engineer
Posted 10 Jul 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
Compensation
No salary listed for this role.
Role speciality
Artificial IntelligenceLarge Language Model SystemsRetrieval-Augmented Generation
Useful technologies
Anthropic ClaudeAWS LambdaClaudeclaude-codeCursorDockerGoogleLinkedInLinuxMetaNode.jsOAuthOpenAIpgvectorPineconePostgreSQLReactRESTSlack APITerraformTypeScript
Required qualifications
Field of studyComputer Science
Study levelBachelor's
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
- Classify inbound messages by category, intent, urgency, and tone
- Generate contextual responses using enrichment data
- Implement and tune human approval gates
AI-Powered Sales Intelligence
- Transform raw enrichment data into structured pre-call briefs
- Generate backgrounds, pain hypotheses, talking points, and rapport hooks
RAG System
- Maintain and improve the vector database with embeddings
- Implement markdown-aware chunking strategies
- Build async ingestion workers and semantic search APIs
Trend Intelligence Engine
- Process RSS feeds, social media, video platforms, and search trends
- Generate reports, forecasts, and content drafts
- Run autonomously on scheduled jobs
Content Quality Pipeline
- Extend the multi-agent system (outline → audit → generate)
- Maintain binary quality gates (PASS/FAIL with citations)
- Support multiple content formats across the pipeline
Automated Lead Qualification
- Enrich leads with product data and market insights
- Build AI scoring and qualification grading systems
- Generate automated audit reports
AI Executive Assistant
- 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