AI Engineer Haptik

- Target Companies: Convozen, Gnani, Murf.ai, Bolna, Ringg.ai, Greylabs, Squadstack, Exotel, Yellow.ai, ElevenLabs, or Verloop.

- Experience: 2+ years

- Budget: 25 LPA (100% fixed)

- Location: Goregaon East, Mumbai (preferred), Bangalore, or Remote.

- Work Mode: Hybrid (2 days in office) if based in Mumbai.

Voice & AI Engineer

What we want to accomplish and why we need you?

Jio Haptik is an AI leader having pioneered AI-powered innovation since 2013. Reliance Jio Digital Services acquired

Haptik in April 2019. Haptik currently leads India's AI market having become the first to process 15 billion+ two-way

conversations across 10+ channels and in 135 languages. Haptik is also a Category Leader across platforms

including Gartner, G2, Opus Research & more. Recently Haptik won the award for "Tech Startup of the Year" in the

AI category at Entrepreneur India Awards 2023, and gold medal for "Best Chat & Conversational Bot" at Martequity

Awards 2023. Haptik has a headcount of 200+ employees with offices in Mumbai, Delhi, and Bangalore.

What will you do every day?

We are looking for a Voice & AI Engineer to build and scale intelligent voice solutions for our customers.

In this role, you will work on voice bots, IVR flows, and AI-powered voice experiences, ensuring high reliability,

performance, and customer satisfaction.

You will collaborate closely with Product, Platform, and Customer Success teams to deliver voice solutions that

work well in real-world customer environments.

Roles & Responsibility

Build and maintain voice bots, IVR systems, and AI-driven call flows

Integrate speech-to-text, text-to-speech, and conversational AI capabilities

Work on improving call accuracy, latency, and overall voice quality

Build backend services to support voice and AI workflows

• Integrate with telephony systems, CRMs, and third-party tools

• Debug and resolve voice-related issues in production

• Support customer implementations and feature rollouts

What We're Looking For

Must have Strong experience with voice or telephony systems

Hands-on backend development experience (Python / Node.js / Java)

Experience working with APIs and cloud-based systems

• Understanding of conversational AI concepts (intents, flows, context)

• Ability to debug live production issues

Good to have Experience with contact centre or customer support voice systems

Exposure to AI/ML or LLM-based features