We’re looking for a technically strong automation engineer to build a production-grade Intelligent Timeline Engine that converts assigned work + rubric requirements into a structured execution plan.
This is not a basic task generator or template automation. We want a clean, modular, observable workflow that models scope, milestones, and execution risk in a structured way.
Objective:
Given:
• Assignment description
• Rubric or evaluation criteria
• Deadline
• Optional constraints (workload, priorities)
The system should:
• Parse scope and complexity
• Break work into milestone phases
• Estimate realistic durations
• Identify likely obstacles or bottlenecks
• Apply buffer logic based on risk
• Output a structured timeline and risk summary
Technical Expectations:
• Built using n8n (or similar orchestration platform)
• AI integration (OpenAI / Claude) for scope modeling
• Structured persistence layer (Airtable, Supabase, or similar)
• Clean workflow design with modular nodes
• Error handling, retry logic, and structured logging
• Webhook or form-based intake
• Slack or email output formatting
Bonus:
• Configurable buffer percentages
• Historical workload awareness
• Deadline stress detection
• Clean documentation + Loom walkthrough
Deliverables:
• Fully functioning workflow
• Database schema
• Cleanly documented system architecture
• Short handoff walkthrough video
• Scalable structure (not a one-off demo)
We are not looking for:
• Template-based automations
• Surface-level prompt wrappers
• Fragile “works on my machine” builds
We are looking for someone who thinks in systems and understands structured automation architecture.
Please include:
1 Examples of production automation systems you’ve built
2 How you handle workflow observability and failure recovery
3 Estimated timeline to delivery
Apply Now
Apply Now