Experienced AI Automation Engineer — Intelligent Timeline & Work Planning | n8n, Airtable, Website

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