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Niche voice-AI role, non-metro location, and lesser-known startup reduce applicant density.
Highly specialized voice AI and LLM expertise limits cross-industry transferability.
Multiple mandatory technical requirements including 5+ years, voice AI, LLMs, cloud, and specific stacks.
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Build and deploy scalable production-grade Voice AI systems involving STT, TTS, LLMs, and conversational AI workflows.
Design and optimize real-time voice orchestration pipelines focusing on low-latency, interruption handling, and conversation memory.
Develop APIs with FastAPI/Flask and implement evaluation layers including monitoring, call analytics, and conversation QA.
Minimum 5 years of backend development experience in Python.
Proven hands-on experience deploying production Voice AI Agents including STT, TTS, and LLM integrations.
Proficiency with FastAPI or Flask and knowledge of PostgreSQL, Redis, AWS, Docker, and CI/CD processes.
Experience with RAG, prompt engineering, memory handling and working knowledge of OpenAI, Anthropic, Gemini, or equivalent LLM platforms.
Experienced in architecting and scaling real-time low-latency conversational AI and Voice AI systems with telephony or web voice integration.
Strong system design and problem-solving skills, able to optimize reliability and performance in AI-native voice products.
Capability to mentor junior engineers and lead engineering best practices in a fast-paced AI product environment.