Lead Voice AI Engineer

Triwill Group; Hinoba-an; On-site; PHP 2,628,000 - 4,600,000; Full time

Job summary

Triwill Group is seeking a Lead Voice AI Engineer to spearhead the architecture and development of production-grade voice AI systems across frontline industries. You will drive real-time voice experiences combining speech recognition, TTS, LLMs, and conversational AI.

The role focuses on solving challenges like multilingual conversations, noisy environments, and skilled handoffs, while establishing standards for scalability, reliability, and observability.

Qualifications

• Leadership in design and implementation of production-grade Voice AI systems.
• Experience guiding architecture decisions for real-time voice experiences.

Responsibilities

• Lead architecture and development of low-latency voice AI platforms.
• Mentor engineers and drive key design decisions.
• Evaluate emerging speech and AI technologies for integration.

Skills

Voice AI leadership

Architecture leadership

Speech recognition

Text-to-Speech

LLMs & Conversational AI

Real-time/low-latency systems

Mentoring engineers

Engineering scalability

Tools

PyTorch

TensorFlow

Speech processing pipelines

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Voice AI Engineer based in India.

This is a hands-on technical leadership role focused on building production-grade Voice AI systems for frontline industries such as healthcare, manufacturing, retail, hospitality, warehousing, and logistics. You will lead the architecture and development of low-latency, real-time voice experiences that combine speech recognition, text-to-speech, LLMs, conversational AI, knowledge retrieval, and enterprise workflows. The role requires solving complex challenges around interruptions, turn-taking, multilingual conversations, noisy environments, identity, compliance, and human handoff. You will take voice systems from architecture through production while establishing engineering standards for scalability, reliability, and observability. You will also evaluate emerging speech and AI technologies and integrate them into a high-performance voice platform. As a technical leader, you will mentor engineers and guide critical design decisions while remaining deeply involved in implementation. This is an opportunity to shape the next generation of enterprise Voice AI experiences where real-time performance and natural human interaction are essential.