Engineering Lead - ML: Next-Generation Conversational and Dynamic AI Agents in Bengaluru

TAAS Partners is seeking a visionary and experienced Engineering Lead - ML to spearhead the development of next-generation conversational and dynamic AI agents. This pivotal role involves architecting and scaling robust systems that will redefine how enterprises leverage AI. The focus is on creating agents capable of human-like, open-ended dialogues, dynamic reasoning for complex tasks like sales, and continuous self-learning from conversation outcomes, all while ensuring minimal latency and cost.

You will also drive the development of dynamic workflow agents that learn by observing human behavior through live interactions, recordings, and transcripts. These agents will possess the ability to interact with GUIs and browsers, process information, reason, and execute tasks. Emphasis will be placed on one-shot learning for accurate human-AI collaboration during escalations and developing AI copilot features that assist human agents with workflow context.

This is a unique opportunity to shape the future of enterprise AI adoption, operating at the confluence of AI research, applied machine learning, scalable infrastructure, and real-world enterprise workflows. You will lead and mentor a team of engineers, define the technical vision and architecture, and drive the product strategy for agentic AI systems.

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: 2-8 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.

Join TAAS Partners at the forefront of the GenAI revolution and contribute to building impactful AI solutions for large-scale enterprise clients in Bengaluru, India.