AI Voice Agent Infrastructure Engineer

3 days ago

Bengaluru, Karnataka, India beBeeDeployment Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: AI Voice Agent Deployment Specialist

We are seeking a highly skilled and experienced professional to join our team as an AI Voice Agent Deployment Specialist. This role will be responsible for designing, deploying, and maintaining real-time speech AI agents in telephony environments.

Key Responsibilities:
  • Design and deploy real-time speech AI agents using CPaaS platforms and audio pipelines.
  • Integrate ASR, TTS, and LLMs with voice bot workflows using WebSocket or RTP streams.
  • Collaborate with backend engineers and AI scientists to deploy scalable ML models into production across Kubernetes, Docker, and cloud-native environments (AWS/GCP).
  • Establish observability, logging, and monitoring of speech pipelines (latency, dropouts, stream integrity) using Prometheus, Grafana, ELK, etc.
  • Automate the ML lifecycle and CI/CD for AI models using tools like MLflow, Airflow, or Kubeflow.
  • Optimize streaming latency across ASR, LLM, and TTS chains in low-latency applications like telephony bots.
  • Ensure fault-tolerant, secure, deployment of voice-based systems using industry-standard DevOps practices.

Required Skills:

  • 5-8 years of experience in ML Ops, AI platform engineering, or DevOps with hands-on ML deployment.
  • Experience with ASR/TTS model integration (e.g., Whisper, Amazon Polly, Google Speech API).
  • Hands-on experience deploying AI in telephony environments, with working knowledge of Asterisk, FreeSWITCH, or similar systems.
  • Solid command over WebSocket, SIP, RTP, or similar streaming protocols for voice integration.
  • Proficient with cloud services (AWS/GCP/Azure), containers (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform).
  • Experience with end-to-end CI/CD pipelines, GitOps, and model monitoring (accuracy, drift, performance).
  • Strong programming skills in Python and scripting to support infrastructure and integration tasks.

Benefits:

  • Work on next-gen AI voice agents deployed in high-impact customer environments.
  • Influence platform architecture and deliver cutting-edge infrastructure for real-time ML.
  • High-ownership, engineering-led culture with strong product alignment and technical mentorship.

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