# Retell AI Specialist Needed for Recruitment Voice Agent

**URL:** <https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509>\
**Category:** Hire A Retell Expert\
**Created:** [August 17, 2026, 1:33pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509 "2026-08-17T13:33:51Z")\
**Posts on this page:** 14\
**Page:** 1

<div class="post-metadata">

**Author:** ![premier](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/premier/32/2516_2.png) [@premier](https://community.retellai.com/u/premier)\
**Post date:** [August 17, 2026, 1:33pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/1 "2026-08-17T13:33:51Z")

</div>

We are looking for an experienced Retell AI specialist to optimize an existing outbound recruitment calling agent.

Our content and recruitment information are already prepared. Your role is to structure the Retell workflow so the agent sounds natural, receives maximum candidate engagement, keeps candidates talking and encourages them to open up before progressing toward a meeting.

The work includes:

- Optimizing the call structure and conversational flow

- Improving pacing, turn-taking, interruptions and responsiveness

- Structuring questions to encourage detailed answers

- Managing disengagement, hesitation and common conversation paths

- Identifying and reducing drop-off points

- Optimizing qualification and meeting-booking transitions

- Testing calls and improving performance from real results

Key KPIs include meaningful conversation rate, conversation duration, candidate response rate, call completion rate, meeting-booking rate and conversation drop-off rate.

Please share relevant Retell AI projects, your approach, timeline and pricing.

---

<div class="post-metadata">

**Author:** ![nathan](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/nathan/32/2293_2.png) [@nathan](https://community.retellai.com/u/nathan)\
**Post date:** [August 17, 2026, 2:49pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/2 "2026-08-17T14:49:27Z")

</div>

Hi @premier, I run Agento AI, a certified Diamond-tier Retell partner:

- [agento-ai.com](http://agento-ai.com)
- [Retell Certified Partner | Agento AI](http://retellai.com/partner/agento-ai)

We build and optimize Retell agents in production, both outbound and inbound, so your list is something that we’re very familiar with. Closest to what you’re describing: reworking an outbound agent for a completely different audience, rebuilding booking flows into live transfers along with all the ways they fail, and getting agents to stop interrogating people and just pick things up from context instead. From our experience, that last one makes the biggest difference to whether someone opens up or feels like they’re being processed.

For yours, we’d want to listen to your actual calls before touching anything. Everything on your KPI list is a conversation quality problem and you can’t fix those by guessing. My hunch is the drop-off is happening in the first few seconds rather than in qualification, but the call review would tell us. After that it’s restructuring the flow and how questions get asked, then tuning the pacing and turn-taking stuff (interruption sensitivity, backchannels, endpointing) that most people never touch, then iterating off real numbers.

On timeline and pricing, I’d rather not throw a number at you before I’ve seen the agent, so please feel free to DM me or book a call with us so we can discuss further: [Agento AI 30-minute consulting call | Nathan Huynh | Cal.com](https://cal.com/nathan-huynh-agento/30-minute-consulting-call)

---

<div class="post-metadata">

**Author:** ![aryanfindsaway](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/aryanfindsaway/32/2526_2.png) [@aryanfindsaway](https://community.retellai.com/u/aryanfindsaway)\
**Post date:** [August 17, 2026, 11:11pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/3 "2026-08-17T23:11:16Z")

</div>

Hey @premier — this is the work I do day to day, so I’ll keep it short.

I build and optimise Retell agents end-to-end — audits, restructuring, and getting them to actually perform. A few things that seem relevant to your project:

- I’ve built agents that hold 30–40 minute conversations and land them properly at the end — keeping someone talking that long is the same muscle as getting a candidate to open up
- Pacing, turn-taking, interruptions and silence handling — that’s where “sounds natural” is won or lost, and all of it is tunable
- RAG synced to live databases like Airtable, so the agent works off current information instead of a frozen prompt, with proper guardrails on top
- Clean opens, closes, and handoffs — a lot of drop-off hides there and gets blamed on the script
- I optimise for cost as much as engagement; cutting the turns that go nowhere usually makes a call better and cheaper at the same time

I’ve also done a lot on the post-call side, including structuring long, heavy call data for AI model training — so transcripts, dashboards, and syncing into your ATS or CRM are all in my wheelhouse.

I’d want to hear a few of your calls before we could begin. Rough shape: diagnosis/strategy  
in about 1-3 days and executing a first optimised version live within a week. Budget-wise, I’d start at $1k, worked on as a set number of hours we agree between us, and we can shape it as the work becomes clearer.

You can go through my work here: [aryanfindsaway.com](http://aryanfindsaway.com)

---

<div class="post-metadata">

**Author:** ![ashirhassanshaikh](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/ashirhassanshaikh/32/2536_2.png) [@ashirhassanshaikh](https://community.retellai.com/u/ashirhassanshaikh)\
**Post date:** [August 19, 2026, 7:05pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/4 "2026-08-19T19:05:31Z")

</div>

Hi @premier, I’d start by reviewing 3–5 real calls to identify where candidates disengage: the opening, turn-taking, question sequence, or booking transition.

I build real-time Voice AI systems and work with conversational flow, interruptions, latency, tool calling, failure handling and production validation. I can provide an initial diagnosis within 24 hours and then optimize the highest-impact parts of your Retell workflow.

Would you be open to a quick call today? I can send my availability by DM.

---

<div class="post-metadata">

**Author:** ![alberto.rentas](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/alberto.rentas/32/2568_2.png) [@alberto.rentas](https://community.retellai.com/u/alberto.rentas)\
**Post date:** [August 24, 2026, 1:35pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/6 "2026-08-24T13:35:53Z")

</div>

@premier — you already have several strong implementation offers here, so I’ll come at this from a different angle.

MARUPA focuses on independent Voice AI QA rather than implementation.

For this recruitment agent, I’d establish a measurable baseline across the outcomes you listed — meaningful conversation, completion, qualification, drop-off and successful meeting booking — then test realistic candidate behaviors against the live agent.

The important part is separating “the conversation sounded good” from “the business outcome actually happened.” For example: did the candidate qualify correctly, did the agent preserve the right information, and was the meeting actually created with the correct data?

That gives you an independent scorecard you can use before and after whoever performs the Retell optimization.

I can start with a small QA Snapshot on the existing agent so you can evaluate the findings before committing to anything larger.

Alberto  
MARUPA — Independent Voice AI QA

> **[MARUPA — Build what's next.](https://marupahq.com/voice-ai-qa)**
>
> We build products, systems and companies designed for what comes next.

---

<div class="post-metadata">

**Author:** ![firstbemail](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/firstbemail/32/2575_2.png) [@firstbemail](https://community.retellai.com/u/firstbemail)\
**Post date:** [August 24, 2026, 4:56pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/7 "2026-08-24T16:56:05Z")

</div>

Hi Premier — Ori from Spec Social here. I’d handle this as a focused optimization sprint, starting with the calls rather than guessing from the prompt.

First I’d review 3–5 representative calls and map exactly where candidates disengage: the opening, question sequence, turn-taking, interruption behavior, qualification, or booking transition. Then I’d change only the highest-impact variables and define the next test against conversation duration, completion, drop-off, and booking rate.

I’ve built and locally QA-tested two Retell front-desk implementations: one published and bound system that passed 65/65 local tests, and one paid pilot in predeployment that passed 32/32. I’m not presenting that as recruitment performance or production ROI; it is implementation and QA proof.

I’d scope the first paid milestone at $750: call and workflow review, failure map, revised conversation architecture, and prioritized test plan within two business days. Implementation and iteration can then be quoted from the actual diagnosis.

If that works, DM me and I’ll send the exact call samples and access checklist I need.

---

<div class="post-metadata">

**Author:** ![stone](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/stone/32/2559_2.png) [@stone](https://community.retellai.com/u/stone)\
**Post date:** [August 27, 2026, 2:58am UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/9 "2026-08-27T02:58:18Z")

</div>

@premier I would start with the calls, not the prompt. Your KPI list is already the acceptance test. The useful first step is to establish a baseline for meaningful conversation, completion, qualification, drop off, and successful booking, then label exactly where each failed call broke.

From there I would change one class of failure at a time. Opening and consent. Turn taking and interruption. Question sequence. Qualification. Booking handoff. Each change gets rerun against the same scenarios so you can see whether it improved the outcome or only sounded better.

Relevant proof, without pretending it is recruitment specific. I run a production Retell path on a custom WebSocket at about 1.5 seconds warm time to first audio. The platform behind it has 76 edge functions and about 140 PostgreSQL tables. Its release gate currently passes 4 of 4 lead qualification cases and 3 of 3 abuse hard stops.

I will not quote a price or promise a delivery date before seeing the call set and current workflow. After read only access, I can give you a fixed first milestone with the exact scope, price, and delivery date. If you send a representative set of successful and failed calls by DM, I will tell you what I see before you commit.

Stone

---

<div class="post-metadata">

**Author:** ![ayaankhb24](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/ayaankhb24/32/2615_2.png) [@ayaankhb24](https://community.retellai.com/u/ayaankhb24)\
**Post date:** [August 29, 2026, 10:47am UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/10 "2026-08-29T10:47:12Z")

</div>

Hi, I’m Ayaan, a full-stack and voice AI developer. I built MedVoq ([https://www.medvoq.com](https://www.medvoq.com), demo: [https://www.youtube.com/watch?v=KFsXr3uznxw](https://www.youtube.com/watch?v=KFsXr3uznxw)), a voice AI system that turns live doctor-patient consultations into structured records, running in government hospitals here in India. Keeping a real person engaged on a live conversation and landing a structured outcome at the end is exactly the muscle your agent needs.

How I’d approach yours:

1. Listen to a batch of your real calls first. Your KPI list is a conversation quality problem, and guessing at fixes without hearing where candidates actually drop off wastes both our time.
2. Restructure the call flow and questions so candidates open up before the qualification and booking transitions, then tune the pacing layer: turn-taking, interruption handling, endpointing, silence recovery.
3. Iterate against your KPIs with test calls and real results until the numbers move.
4. Wire the post-call side into your ATS/CRM with a simple dashboard, so every KPI is measured automatically.

Timeline: call audit and written findings within 2-3 days of access, first restructured version live within a week, then tuning off real numbers.

On pricing, I’d rather give you a fixed quote after the call review than throw out a number blind. It’s usually cheaper for you too. Happy to share it within a day of hearing the calls.

Portfolio: `ayaankhan.cv` - GitHub: `github.com/Ayaan24`

---

<div class="post-metadata">

**Author:** ![Damian](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/damian/32/2627_2.png) [@Damian](https://community.retellai.com/u/Damian)\
**Post date:** [August 31, 2026, 11:13pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/11 "2026-08-31T23:13:05Z")

</div>

Damian Schaeffer — Natyv AI (natyv.ai). US, Eastern Time.

I ship production voice agents that qualify and book, then text if they don’t. Founder-led, not a ticket queue.

For this: audit the current Retell flow, tighten turn-taking and objection paths so drop-off falls, keep qualification + calendar booking, add SMS if a candidate bails mid-call. Phase 1 is a paid 7–10 day tune on your existing agent, with KPIs you already listed.

Timeline and pricing in the first reply here or [Damian@get-myagent.com](mailto:Damian@get-myagent.com) if you want it this month.

---

<div class="post-metadata">

**Author:** ![dimas](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/dimas/32/2620_2.png) [@dimas](https://community.retellai.com/u/dimas)\
**Post date:** [September 2, 2026, 5:20pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/12 "2026-09-02T17:20:59Z")

</div>

Outbound recruitment is the harder case, because the person didn’t ask you to call and the first few seconds decide the whole thing.

I run a voice agent in production — inbound for small businesses in Portugal. Deepgram for speech to text, Claude for the reasoning, ElevenLabs for the voice, Telnyx on the line.

On pacing and turn-taking specifically: most of what read as “unnatural” for us turned out not to be the prompt at all. Callers said the agent was hard to follow, and it was three things stacked on each other — the carrier sending 20ms packets, a settings layer sitting on top of the voice, and a duplicate entry in the audio cache. We only found it after building a way to measure the line objectively instead of listening and forming opinions about it.

The other thing worth saying before you spend time on question structure: latency does more damage than anything you’ll write in the prompt. A second and a half of silence reads as a dead line. On an outbound call that is your drop-off, and it looks like disinterest in the transcript.

Happy to go through the workflow with you. I’m in Lisbon, so European hours, and I work in English and Portuguese.

---

<div class="post-metadata">

**Author:** ![Damian](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/damian/32/2627_2.png) [@Damian](https://community.retellai.com/u/Damian)\
**Post date:** [September 5, 2026, 9:30pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/13 "2026-09-05T21:30:45Z")

</div>

Hi premier — I’m Damian Schaeffer, founder of Natyv AI. I build and optimize production voice agents (Retell/Vapi-style), including conversation flow, turn-taking, qualification and booking. I can review your calls, diagnose drop-off, and deliver a paid optimization/install sprint with testing and a revised flow. Contact me at [Damian@get-myagent.com](mailto:Damian@get-myagent.com) or [https://natyv.ai](https://natyv.ai).

---

<div class="post-metadata">

**Author:** ![TONNIC](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/tonnic/32/131_2.png) [@TONNIC](https://community.retellai.com/u/TONNIC)\
**Post date:** [September 8, 2026, 10:34pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/14 "2026-09-08T22:34:21Z")

</div>

Not sure where you are at with this project, but I have over 20 years in Talent Acquisition.

---

<div class="post-metadata">

**Author:** ![ksmolichki](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/ksmolichki/32/2716_2.png) [@ksmolichki](https://community.retellai.com/u/ksmolichki)\
**Post date:** [September 13, 2026, 9:00pm UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/15 "2026-09-13T21:00:03Z")

</div>

Your KPI list makes this testable: meaningful conversation, completion, qualification, drop-off and successful meeting booking. I propose a fixed $450 diagnostic before any optimization: five representative candidate paths, a timestamped PASS/FAIL/BLOCKED scorecard, the exact drop-off or handoff failure, and the three highest-impact changes within one business day. No production changes in this milestone. If it is still open, can you fund the diagnostic and share five calls plus read-only access? Email [kalin.smolichki@gmail.com](mailto:kalin.smolichki@gmail.com) or DM here.

---

<div class="post-metadata">

**Author:** ![dwivedivenkatesh98](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.retellai.com/dwivedivenkatesh98/32/2888_2.png) [@dwivedivenkatesh98](https://community.retellai.com/u/dwivedivenkatesh98)\
**Post date:** [October 14, 2026, 6:45am UTC](https://community.retellai.com/t/retell-ai-specialist-needed-for-recruitment-voice-agent/3509/16 "2026-10-14T06:45:58Z")

</div>

Hi @Premier,

Saw your post about optimizing your outbound recruitment agent on Retell, particularly improving candidate engagement, conversational flow, pacing, and meeting-booking rates. We can help review the existing workflow, identify where candidates drop off, and test improvements against your key performance metrics.

I run Pinnakle Media. We build AI voice agents on Retell and Vapi and connect them to the tools you already use, like GoHighLevel, n8n and your calendar.

Here’s how I’d handle yours:

- Go through your call flow and find where calls break

- Build or fix the agent so every call gets booked, transferred or logged the right way

- Test it with real calls before it goes live

If it helps, we can start with a small paid test, so you see the work before you commit to the full build.

Is the project still open? If so, open to a 15-minute call this week? You can grab a time here:

> **[Discovery call with Prateek - Social Media Advisor - Pinnakle Media](https://tidycal.com/pinnaklemedia/15-minute-meeting)**
>
> Discovery call with Prateek - Social Media Advisor

Thanks,  
Venkatesh
