AI Voice Agent Engineer

Responsibilities:

• Build and deploy AI agents for real-time voice conversations.
• Integrate STT / TTS pipelines (speech text).
• Connect agents with telephony systems (Twilio / SIP / Voice APIs).
• Design call workflows, handling logic and disposition tracking.
• Optimise latency for smooth, human-like conversations.
• Handle 100+ concurrent calls per agent.
• Build scalable backend systems for production deployment.
• Integrate LLMs, APIs, and automation pipelines.

Requirements:

• Strong Python experience.
• Hands-on with LLMs / AI agent frameworks.
• Experience with STT / TTS systems (e. g., OpenAI and Deepgram).
• Telephony integrations (Twilio / SIP / Voice APIs).
• Real-time streaming and low-latency systems.
• Webhooks, async systems, event-driven architecture.
• Experience deploying scalable production systems.

Bonus Skills:

• LangChain / LlamaIndex.
• Cloud (AWS / GCP / Azure).
• Docker/infra pipelines.
• Observability for AI systems.

Good to Have:

• Someone who can own the entire AI calling pipeline end-to-end, from call connection to conversation intelligence scaling.