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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.


Role Overview

We are seeking an experienced and visionary Engineering Lead - ML to spearhead the development of next-generation conversational and dynamic AI agents. You will architect and scale systems that enable:

Conversational Agents (Voice & Chat):
  • Human-like, open-ended dialogues without rigid workflow design.
  • Dynamic reasoning to achieve goals (e.g., selling a personal loan).
  • Continuous self-learning from conversation outcomes.
  • Operating at minimal latency and cost.

Dynamic Workflow Agents:
  • Agents that learn workflows (Sales, Support, Admin) by observing humans.
  • Self-learning from live agent behavior, recordings, and transcripts.
  • Ability to see, process/understand, reason, and interact with GUIs/browsers.
  • One-shot learning from escalations, ensuring accurate human-AI collaboration.
  • Human agent assist & copilot features driven by workflow context.

This is a rare opportunity to shape how enterprises adopt agentic AI, working directly at the intersection of AI research, applied ML, scalable infrastructure, and real-world enterprise workflows.

Key Responsibilities

Leadership & Vision
  • Lead and mentor a team of engineers building agentic AI systems.
  • Define technical vision, architecture, and product strategy.

Architecture & Delivery
  • Design and scale enterprise-grade AI products leveraging reinforcement learning, computer vision, and LLM fine-tuning.
  • Drive low-latency, cost-optimized systems in production.
  • Ensure robust engineering standards, testing, and security practices.

Innovation & Integration
  • Develop pipelines for self-learning agents from conversations and human workflows.
  • Architect systems for human-in-the-loop escalation and AI copilots.
  • Collaborate with product, design, and research teams to deliver real-world outcomes.

Operational Excellence
  • Establish CI/CD pipelines, automation, and best practices.
  • Proactively identify risks and resolve technical challenges.
  • Optimize for scalability, reliability, and enterprise integration.


What We’re Looking For

  • Experience: 10-12 years of experience.
  • AI/ML Skills: Strong expertise in Reinforcement Learning, Computer Vision, LLM fine-tuning, and applied ML research.
  • Systems Expertise: Proven ability to build and scale large-scale distributed systems and enterprise-grade products.
  • Infrastructure Skills: Deep understanding of cloud platforms (AWS, GCP, Azure) and scalable architecture.
  • Hands-on Engineering: Proficiency in Python, Go, Java, or equivalent languages.
  • Mindset: Passion for building product-first AI systems (not services), strong execution ability, and innovation-driven leadership.


Why Join Nurix AI?
  • Work at the cutting edge of AI and enterprise technology
  • Be part of a mission-driven, high-growth startup
  • Direct impact on products used by large-scale enterprise clients
  • A vibrant and dynamic work environment fostering professional growth and innovation.
  • Competitive compensation and performance-based incentives.
  • A front-row seat in the GenAI revolution, working with a team of passionate, like-minded innovators.

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