Senior Voice AI Engineer — Convogent Delivery

Aivar Innovations; Coimbatore District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Aivar Innovations in Coimbatore seeks a Conversational AI Engineer to architect and ship voice AI agents handling thousands of live customer conversations daily. You will own real-time audio pipelines, telephony integrations, and the orchestration layer tying STT, TTS, and LLMs into sub‑second voice experiences.

This hands‑on role requires Python, experience with Pipecat/LiveKit, and production delivery of voice AI or telephony systems.

Qualifications

• Experience building and deploying voice agents in production environments.
• Strong understanding of STT/TTS integration and LLM orchestration.
• Proficiency in Python and at least one of Node.js/TypeScript/Go.
• Ability to ship scalable voice AI solutions with measurable impact.

Responsibilities

• Build scalable voice agents for customer conversations.
• Optimize real-time audio pipelines for low latency and high concurrency.
• Implement telephony integrations (WebRTC, SIP, CPaaS).
• Handle multi-speaker diarization and conversation segmentation.
• Connect STT, TTS, and LLM agents into robust workflows.
• Tune for production with VOX detection, echo cancellation, and quality monitoring.
• Operate on AWS with Docker, Kubernetes, and CI/CD.
• Collaborate with product and customer teams to meet outcomes.

Skills

Voice AI development

Python programming

Real-time audio processing

Cross-functional collaboration

Tools

Pipecat

LiveKit

WebRTC

SIP

Twilio

Telnyx

Docker

Kubernetes

Job description

About Aivar Innovations

Aivar Innovations is an AI-native services and software company and an AWS Preferred Partner, backed by Bessemer Venture Partners and Sorin Investments. We ship production-grade AI into enterprise environments across fintech, healthcare, and technology.

About Aivar Innovations

Aivar Innovations is an AI-native services and software company and an AWS Preferred Partner, backed by Bessemer Venture Partners and Sorin Investments. We ship production-grade AI into enterprise environments across fintech, healthcare, and technology. Our work is anchored by four accelerator platforms: Convogent (voice and agent AI automation), Velogent (governed agentic process automation for regulated industries), Kubogent (Kubernetes-native AIOps), and Datagent (data and analytics). We measure ourselves by what runs in production — not by slideware.

Role Overview

We are hiring a Conversational AI Engineer to architect and ship voice AI agents that handle thousands of live customer conversations daily. You will own real-time audio pipelines, telephony integrations, and the orchestration layer that ties STT, TTS, and LLMs into reliable sub‑second voice experiences. This is a hands‑on engineering role at the core of our Convogent accelerator.

What You'll Do

• Build voice agents. Design and deploy scalable voice AI agents using Pipecat, LiveKit, or equivalent frameworks.
• Engineer real‑time audio pipelines. Optimize STT and TTS flows for low latency, high concurrency, and call quality.
• Own telephony integration. Implement WebRTC, SIP, RTP, and WebSocket connectivity, and integrate with CPaaS platforms like Twilio and Telnyx for inbound and outbound calling.
• Handle multi‑speaker audio. Build speaker diarization and segmentation for accurate, context‑aware conversations.
• Build the orchestration layer. Connect STT, TTS, and LLM agents into resilient, observable workflows with guardrails and evaluation hooks.
• Tune for production. Implement Voice Activity Detection, echo cancellation, codec optimization, and call quality monitoring.
• Operate at scale. Monitor, log, and support production deployments on AWS — including incident response and latency tuning.
• Partner with product and customer teams. Translate customer requirements into deployable voice solutions and iterate against measurable outcomes.

What You’ll Bring

• Hands‑on experience building and deploying voice agents with Pipecat, LiveKit, or similar frameworks.
• Deep expertise in STT (Deepgram, Whisper, AssemblyAI, Google STT, Speech) and TTS (ElevenLabs, Cartesia, Amazon Polly, TTS).
• Strong working knowledge of telephony, SIP, WebRTC, and media servers (FreeSWITCH, Asterisk, Kamailio).
• Experience with multi‑speaker diarization and conversation segmentation.
• Production fluency in Python plus at least one of Node.js, TypeScript, or Go.
• Practical use of AI/ML libraries (TensorFlow, PyTorch, Scikit‑learn) and conversational AI design — prompt engineering and integration with LLMs (GPT‑4o, Claude, Bedrock models).
• Audio codec depth (Opus, G.711, G.729), real‑time streaming, and media handling.
• Cloud deployment experience on AWS (Lambda, EC2, S3, EKS, Polly, Transcribe, Bedrock) with Docker, Kubernetes, and CI/CD.
• Demonstrated track record of shipping voice AI or telephony systems to production with measurable customer impact — latency targets met, call volume handled, quality metrics moved.

Preferred Experience

• Experience with media server architectures (SFU/MCU) and custom VoIP infrastructure (Asterisk, FreeSWITCH, Kamailio, OpenSIPS).
• Familiarity with low‑code voice platforms alongside custom infrastructure.
• Voice analytics, transcription tooling, and Indian‑language STT/TTS models.
• AWS or speech technology certifications.
• Experience leading cross‑functional delivery and working with enterprise stakeholders.

Why This Role, Why Aivar

• Work that ships. Your voice agents will run live on enterprise calls — measured by customer outcomes, not demos.
• Backed and proven. AI‑native, AWS Preferred Partner, BVP‑ and Sorin‑backed, with 100+ enterprise customers in the first year.
• Own the stack. End‑to‑end ownership from real‑time audio to LLM orchestration to production operations. No layers between you and the system.
• Build on accelerators that work. Convogent has real production traction — you extend a working platform, not start from zero.
• Shape the roadmap. Direct collaboration with founders, product, and the AI engineering bench. Your field signal drives what gets built next.
• Compensation. Competitive base, performance bonus, ESOPs, AWS/AI learning budget, and conference sponsorship.