About the role
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.