We’re looking to connect with someone from the Retell AI team (if possible), or an engineer who has extensive experience with deep Retell AI integrations. We already have an AI full-stack developer and a production Voice AI platform built with Next.js, MongoDB, Vercel, and Retell AI.
This is not a full-time or part-time job opportunity. We’re looking for someone who can provide technical guidance, architecture reviews, best practices, and Zoom consultation to help our developer optimize and scale our Retell AI implementation. If you have deep hands-on experience with Retell AI, we’d love to connect.
We’d love to learn more about your requirements and discuss how we can help. Could you please share your email address so we can get in touch with you directly?
Alternatively, you can reach us at support@vapify.agency. As a certified Retell partner, we’re happy to assist you with implementation needs.
Hi @luxebot.voicebot, we’d love to help. I run Agento AI, a certified Diamond-tier Retell partner.
Quick note: not Retell staff, but Diamond partner means we’re in the platform daily across production builds and have a direct line to the team when something needs escalating.
Architecture reviews, flow and prompt structure, live-transfer design, middleware patterns, compliance-sensitive setups. All in our lane. Happy to hop on a Zoom with your developer and see if it’s a fit.
@luxebot.voicebot — since you already have a full-stack developer and are looking for architecture guidance rather than a rebuild, there may be a useful independent layer alongside that work.
MARUPA focuses on Voice AI QA from the outside: testing critical scenarios against the live system and verifying whether the intended downstream business outcome actually happened correctly after changes.
That can be useful during scaling because architecture improvements can still introduce regressions in booking, transfers, data writes, state handling, or other production paths.
I can start with a small 5-test QA Snapshot on the current agent so you can see whether the findings add value before considering anything broader.
@luxebot.voicebot Your request is advisory rather than a rebuild, which fits.
Your stack includes Next.js, MongoDB and Vercel. My production proof is Retell, Deno, Supabase and Postgres, so I would advise where the systems overlap and be explicit where they do not.
I can review the custom WebSocket path, conversation state, tool calls, latency, fallback behavior, monitoring and eval coverage with your developer driving. My current voice path reaches about 1.5 seconds warm time to first audio. The platform behind it has 76 edge functions and about 140 Postgres tables. Its release gates currently pass 4 of 4 unqualified lead cases, 3 of 3 abuse stops and 12 of 12 AI CRO eval suite.
I will not quote scope until I can see the architecture and the issues your developer wants reviewed. Message me here if this is still open.
@luxebot.voicebot — Damian Schaeffer here, founder of Natyv AI (natyv.ai). Not Retell staff; I ship production voice agents that qualify and book (home-service / local ops), and I do paid deep-integration / architecture reviews with the developer in the room.
Your ask fits a short paid Zoom + architecture pass on your Next.js / Mongo / Vercel / Retell stack: WebSocket path, tool calls, state, latency, live transfer, eval gates. Fixed 7–10 day Phase 1 tune if you want hands-on after the review — not a rebuild, and not a retainer until that slice lands.
Your request is already bounded correctly: review and guidance with your developer driving, not a rebuild. I propose a fixed $450 diagnostic across five production paths covering tool calls, conversation state, latency, fallback/handoff and downstream outcome verification. You receive PASS/FAIL/BLOCKED evidence and the three highest-risk architecture fixes within one business day; no production writes. If the review is still open, can you fund the milestone and share the architecture plus a callable test agent or read-only access? Email kalin.smolichki@gmail.com or DM here.
i’ve built MedVoq, a production voice AI used in Indian government hospitals, and can work directly with your developer on the layer you’re asking for: Retell architecture, prompt/function boundaries, call-state and transfer flows, failure handling, and scaling reviews.
i’m comfortable doing this as focused Zoom consults with concrete changes after each review. ayaankhan.cv