AI Voice Agent + Outbound Calling Pipeline
2 days ago
Job description
Overview
We need an engineer to build a pilot system that takes a CSV of UK candidate records, places outbound calls via a VoIP provider, runs a short AI voice conversation, and returns an updated CSV with a clear status and short call summary per record.
What you will build (high level)
1) Input & Data Handling
- Ingest a CSV (we'll start with a 50–200 row sample, then scale to 1,000)
- Validate and normalise UK phone numbers (E.164 preferred)
- Deduplicate records
- Apply a suppression / do-not-call list (if provided)
*Respect UK calling windows
- Throttling / max calls per hour/day
- Handle outcomes: no answer, busy, voicemail policy, invalid number, failed calls
- Optional: retry policy (1–2 additional attempts) if recommended
- Build the agent using VAPI
- Optional minimal follow-up if afctive (keep short)
Produce:
CSV out with a standard disposition/status
* a 1–2 line summary of the call
* optional extracted fields (e.g., location, availability)
4) Outputs & Logging
- Generate an updated CSV for re-import into the client's system
- Minimum output columns:
* status/disposition
* short_summary
* last_called_at (timestamp)
* attempt_count
* raw_call_outcome (optional)
- Store a run log (record_id, call id, timestamps, status)
- Optional: store transcripts and/or recording links (if enabled)
Keep it simple:
- ACTIVE_LOOKING
- NOT_LOOKING
- CALL_BACK
- NO_ANSWER
- WRONG_NUMBER
- DNC
- Accuracy and auditability matter more than speed
- 1,000 calls spread over a week is acceptable
- Deliverables are operational outputs (status + summary), not conversion outcomes
- Clean handling of duplicates, retries (if used), and suppression is essential
- Strong VAPI experience (voice agents, call flows, webhooks/events)
- Experience building outbound calling integrations with a VoIP provider (your choice)
- Solid backend skills (Python or )
- CSV pipelines, phone normalisation, and state/logging best practices (idempotency)
Nice to have:
- Experience with orchestration tools and/or lightweight worker/queue patterns
- Experience deploying to a VPS or cloud with basic monitoring
Please include:
Your recommended architecture for this pilot:
For example,
- Python/Node batch runner + webhook receiver
How you'll implement:
* throttling + UK calling windows
* retries (if any)
* idempotency (avoid double-calling)
* logging + output CSV generation
- A brief description of your VAPI experience (examples/links if possible)
Your estimated timeline and cost for:
- MVP on 50–200 sample records
- Full pilot run of 1,000 records
Start your response with:
VAPI VOICE PILOT so we know you read the brief.
Contract duration of 1 to 3 months. with 30 hours per week.
Mandatory skills:
vapi, voice agent, Python, , API Integration, Automation, Business Process Automation, Google Sheets Automation, Spreadsheet Automation
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