Voice AI Engineer

RemoteStar; Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Flexible work model

Job summary

A dynamic AI firm in Gurugram is seeking a voice AI engineer to develop scalable solutions for enterprise clients. The ideal candidate has experience in voice AI production and strong skills in MLOps and dataset management. This role offers a competitive package with flexibility in cash and equity options, making it ideal for motivated individuals eager to contribute to a rapidly growing platform.

Qualifications

• Experience with building voice AI agents from conception to production.
• Familiarity with enterprise environments and startup growth stages.
• Ability to clean and analyze datasets for model performance.
• Experience collecting and pruning datasets to evaluate model performance
• Familiarity with knowledge graphs and Graph RAGs

Responsibilities

• Build large-scale agents for voice and chat.
• Ensure low-latency responses in production.
• Research and implement state-of-the-art approaches in AI.
• Research and implement SOTA approaches for knowledge graphs and Graph RAGs

Skills

Voice AI development

MLOps management

Data collection and analysis

Knowledge graphs expertise

Production deployment

Pipecat

Livekit

Data analysis

Tools

Pipecat

Livekit

Job description

Locations: Chennai / Gurugram

Experience Required: 3-8 Years

Working Model: 4 Days a week from Office

About Client: Our client is an agentic AI platform for financial services. Since launching, they're live with large enterprises across the US, Europe, and APAC and growing at double digits per month. They are backed by world‑class investors, including Y Combinator, Tribe Capital, PayPal, Picus Capital, & Hashed.

About the role: They are looking for a voice AI engineer to help shape the company's tech, product, and culture. They are currently working with a bunch of enterprise customers and banks, and are experiencing rapid growth. They are looking to hire mid to senior engineers who can take their V1 into a more scalable, robust platform as they prepare for more growth.

What to expect

• Build large-scale agents for voice and chats for enterprises
• Handle MLOps to ensure low‑latency responses
• Clean, prune, and collect datasets to analyze model performance, hallucination rates, recall, etc.
• Research and implement SOTA approaches for knowledge graphs and Graph RAGs

About you

• We expect you to have built things from 0 to 1 or 1 to 10 (which is typically an early or growth stage startup)
• Experience with voice AI is mandatory. You should have built and taken voice AI agents to production, run monitoring, and made improvements. You should have worked with frameworks such as Pipecat and Livekit.
• We expect you to have an extremely strong bias toward action, strong motivation, side projects, and to have built and/or scaled systems from scratch.

Pay and benefits: They offer a solid, competitive package (including early‑stage equity). They give you the flexibility to choose the split between cash and equity.