Senior Voice AI Engineer — Convogent Delivery

Keka Technologies Private Limited; India; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Aivar Innovations is seeking a Senior Voice AI Engineer to lead customer delivery of voice AI solutions. You will deploy and customize Convogent, integrate STT/TTS pipelines, and collaborate with Delivery Managers and Solution Architects to meet SOW commitments.

You will drive production-grade outcomes across enterprise calls with latency and quality targets, while working in delivery pods with direct customer exposure and measurable success metrics.

Qualifications

• Hands-on experience building and deploying voice agents with Pipecat, LiveKit, or similar frameworks across multiple production deployments.
• Deep expertise in STT (Deepgram Whisper AssemblyAI Google STT Sarvam) and TTS (ElevenLabs Cartesia Amazon Polly).
• Experience with S2S services like Amazon Nova Sonic and implications for pipeline design.
• Multi-speaker diarization and conversation segmentation experience.
• Proficient in Python and at least one of Node.js, TypeScript, or Go.
• Familiar with AWS (Lambda EC2 S3 EKS Polly Transcribe Bedrock) and Docker/Kubernetes with CI/CD.
• Ability to work under SOW/contract constraints and ship within timelines and budgets.
• Comfort working across multiple customer engagements and diverse tech stacks.

Responsibilities

• Own customer delivery outcomes from discovery to production go-live within deadlines.
• Customize and configure Convogent to fit each customer’s telephony stack and CRM integrations.
• Engineer real-time audio pipelines, optimizing STT and TTS for latency and reliability.
• Troubleshoot production issues by tracing signals across capture, STT, orchestration, and TTS.
• Build and adapt the orchestration layer connecting STT, TTS, and LLM agents into resilient workflows.
• Translate customer requirements into deployable solutions with SA and DM support.
• Report and govern delivery with sprint tracking and stakeholder communications.

Skills

Pipecat LiveKit

STT TTS

Python

Node.js TypeScript Go

TensorFlow PyTorch

AWS Docker Kubernetes

SOW Contract Delivery

Customer Delivery

Tools

Pipecat

LiveKit

Twilio

Exotel

Cisco Vonage

AWS

Docker

Kubernetes

CI/CD

Job description

3+ Years

Full-Time

AIVAR INNOVATIONS

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 Senior Voice AI Engineer for Aivar's Delivery organization to take voice AI use cases from discovery through live production for our enterprise customers. You will build and customize voice agents on top of Convogent — Aivar's voice AI accelerator — working directly within customer engagements, delivery timelines, and SOW commitments. This is a hands‑on engineering role embedded in customer‑facing delivery pods, partnering closely with Delivery Managers, Solution Architects, and customer technical stakeholders to ship measurable outcomes on live calls.

What You'll Do

• Own customer delivery outcomes. Take voice AI use cases from discovery through production go‑live within committed timelines, working inside Rocketlane‑tracked delivery plans alongside your Delivery Manager.
• Customize and configure Convogent. Adapt Aivar's voice AI accelerator (built on Pipecat, LiveKit) to each customer's telephony stack (Twilio, Exotel, Cisco, Vonage, etc.), API/MCP integrations with customer CRM tools, knowledge base (KB) integrations, compliance constraints, and use‑case requirements.
• Engineer real‑time audio pipelines for production. Optimize STT and TTS flows for the latency, concurrency, and call quality bar each customer engagement demands.
• Troubleshoot customer production systems. When a live call does not sound right, quickly narrow down where in the pipeline it broke — capture, STT, orchestration, or TTS — by asking the right questions, reading the right signals, and driving the fix through to resolution.
• Build and adapt the orchestration layer. Connect STT, TTS, and LLM agents into resilient, observable workflows with guardrails suited to the customer's risk and compliance profile.
• Translate customer requirements into deployable solutions. Work directly with customer technical stakeholders alongside Aivar's SA and DM to scope, size, and iterate use cases against measurable outcomes — success rate, latency, adoption.
• Report and govern delivery. Contribute to sprint tracking, status reporting, and stakeholder governance for the use cases you own.

What You'll Bring

• Hands‑on experience building and deploying voice agents with Pipecat, LiveKit, or similar frameworks — ideally across multiple distinct production deployments, not a single system.
• Deep expertise in STT (Deepgram, Whisper, AssemblyAI, Google STT, Sarvam) and TTS (ElevenLabs, Cartesia, Amazon Polly).
• Working knowledge of Speech‑to‑Speech (S2S) services, including Amazon Nova Sonic, and how they change pipeline and orchestration design compared to cascaded STT/LLM/TTS.
• 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).
• Cloud deployment experience on AWS (Lambda, EC2, S3, EKS, Polly, Transcribe, Bedrock) with Docker, Kubernetes, and CI/CD.
• Demonstrated ability to work under SOW/contract constraints — scoping, prioritizing, and shipping within a defined timeline and budget across live customer engagements.
• Comfort working across multiple concurrent customer engagements with differing requirements, tech stacks, and stakeholders.

Preferred Experience

• Prior experience in a customer delivery, consulting, or systems integration role, rather than purely product/platform engineering.
• Exposure to regulated industries (fintech, healthcare, BFSI) and their compliance and security constraints.
• Experience with enterprise stakeholder management — running status calls, translating technical trade‑offs into business language.
• Familiarity with low‑code voice platforms alongside custom infrastructure.
• Voice analytics, transcription tooling, and Indian‑language STT/TTS models.
• AWS or speech technology certifications.

Why This Role, Why Aivar

• Work that ships to real customers. Every use case you build runs live on enterprise calls, measured by customer outcomes, not demos.
• Own delivery end‑to‑end. From discovery call to production go‑live, you are the engineering owner of the customer's voice AI outcome.
• Build on accelerators that work. Convogent has real production traction — you configure and extend a working platform across diverse customer environments.
• Direct customer exposure. Work face‑to‑face with enterprise technical stakeholders, not just internal teams.
• Backed and proven. AI‑native, AWS Preferred Partner, BVP‑and Sorin‑backed, with 100+ enterprise customers in the first year.