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#8 AI Voice Engineer – Lead Our Dograha Stack (STT/TTS/LLM) on RTX 5090

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First seenSat, Jul 18, 2026 7:59 PM
Last seenSun, Jul 19, 2026 11:57 AM

Description

Job Type & Collaboration Type: Long-term, ongoing monthly contract (multi-year vision). Schedule: Must be available for core collaboration hours daily within 6:00 AM – 4:00 PM EST (approximately 2–4 hours per day). Compensation & Partnership Model Monthly Retainer: $300 USD to start, with a defined path for substantial increases as system complexity and your responsibilities grow. Profit Sharing: You will receive a share of the 50% net monthly profit pool, which is distributed across the 5-person engineering team. Your specific role: You will be solely responsible for the Dograha instance, STT, TTS, and LLM stack. Your share of the profit pool will reflect the critical nature of this responsibility. This is a long-term, equity-like incentive directly tied to the value you create. Note: All code, models, configurations, and intellectual property developed during this engagement remain the sole property of the company. What We Already Have (You Are Not Starting from Zero) We have already built and are running a real-time AI voice pipeline. We have shifted our architecture to use Dograha (an open-source Vapi alternative) as our foundation. Our system runs on a single machine with an NVIDIA RTX 5090 GPU. Currently Running: Dograha Core: The base framework is installed and operational. STT & TTS: Integrated speech-to-text and text-to-speech models. Pinecone: Vector database connected to our Fusion PBX for memory/context. Custom Portal: A basic Vapi-style dashboard for managing voi

Skills

AI Model Integration PyTorch English Python API VoIP Proxmox VE Linux

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