Full Stack Automation Engineer
Tasks
- Add observability and tracing to AI pipelines
- Automate scheduling workflows
- Build AI pipelines for client performance insights
- Build dashboards for AI metrics and usage monitoring
- Debug classification errors and improve model accuracy
- Develop Slack integrated operations
- Expand content quality systems to new formats and use cases
- Implement tool use and function calling in LLM pipelines
- Improve RAG retrieval quality
- Optimize LLM costs latency and performance
- Triage and respond to email autonomously
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | CI/CD | Chunking | Docker | Embeddings | Function Calling | Hybrid search | LLM Observability | Linux | Log Analysis | Monitoring | Multi-Agent | N8n | Next.js | Node.js | OAuth | PGVector | Pinecone | Playwright | PostgreSQL | Prompt engineering | RAG | REST API | React | SSH | Semantic Search | Slack API | Slack bots | System Prompt | Terraform | Tool use | Tracing | TypeScript | Vector Search | Webhooks
Education
N/A
Roles
Automation Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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