Optimize AI Calling Architecture
Summary
Freelancer Client is hiring: Optimize AI Calling Architecture.
Location: Remote
My SaaS product is an AI-driven calling agent. It already works end-to-end, yet I need its architecture tightened so every conversation starts quicker, feels smoother, and sounds far more human.
What you'll do:
• Contextual understanding improvements
Requirements:
• Goal: drive total latency to the absolute minimum while simultaneously upgrading the “human-ness” of the voice interaction.
Skills: Software Architecture, API Development, Natural Language Processing, AI Text-to-speech, AI Text-to-text, AI Model Development, AI Development
Budget: $1500–$12500 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
My SaaS product is an AI-driven calling agent. It already works end-to-end, yet I need its architecture tightened so every conversation starts quicker, feels smoother, and sounds far more human.
Where I am now
• Biggest drag: server response time.
• Goal: drive total latency to the absolute minimum while simultaneously upgrading the “human-ness” of the voice interaction.
What I want from you
1. Diagnose the current stack, pinpointing latency hotspots from request ingress to audio playback.
2. Redesign or fine-tune components so network and API calls return as close to real-time as possible.
3. Elevate conversational quality through:
• Natural language processing enhancement
• Voice modulation enhancements
• Contextual understanding improvements
Deliverables
• Refined high-level and component-level architecture diagrams
• Written rationale for each change with projected latency savings
• A humanisation strategy detailing models, libraries, or signal-processing tweaks
• Benchmark report comparing “before vs. after” round-trip times and user-perceived quality
I will give you access to the existing codebase, current deployment topology, and sample call logs once we start. Please outline briefly how you would approach the audit, which tools or profiling methods you prefer, and any similar low-latency, real-time voice projects you have completed.
Location & Details
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