About Client -
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.

Role Overview

We are seeking an experienced
ML
Engineers (Senior)
to drive the development of
next-generation conversational and agile 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.
-

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 TAAS Partners
📍 Bengaluru