AI/ML Engineer - NuPlay (Nurix AI)

Company: Meraki-Labs

Location: Bangalore, India

Type: Full-time

Posted: 2026-09-01

About this role

About Nurix AI

At Nurix AI, we are pioneering the Autopilot Enterprise. Our conversational AI agents handle workflows, drive outcomes, and deliver measurable impact for businesses. Born from the belief that enterprises need a new playbook, we build autonomous, multilingual agents capable of complex reasoning, contextual understanding, and end-to-end workflow ownership. Backed by $27.5M in funding from Accel, General Catalyst, and Meraki Labs, and led by Mukesh Bansal, we are India's first scaled enterprise AI company, delivering cutting-edge AI solutions that integrate seamlessly into workflows across industries like Retail, Insurance, Education & Home Services. Join us in shaping the future of enterprise AI — where every interaction is smarter, faster, and human-like.

About the Role

As a Machine Learning Engineer at Nurix AI, you will play a pivotal role in solving some of the hardest challenges in conversational AI. You’ll work on building robust ASR/TTS systems for multilingual Indian contexts, designing guardrails that go beyond IVR-like flows, and ensuring real-time, low-latency conversational agents that can handle human pauses and interruptions. This role is ideal for engineers who want to push the boundaries of speech, LLMs, and agentic AI in production at scale.

Key Responsibilities

Speech & Voice Systems

  • Design, train, and optimize **custom ASR/TTS models** to overcome limitations of Sarvam ASR and improve accuracy across Indian multilingual settings.

- Build conversational agents that can handle interruptions, natural pauses, and real-world voice variability without breakdowns.

Core ML/AI Development

  • Contribute to **Voice-to-Voice (V2V)** systems using state space models

- Develop Agentic RAG pipelines and LLM orchestration for intelligent, context-aware voice agents.
- Work on self-learning agents capable of continuous improvement by observing human workflows and feedback

Engineering & Deployment

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