Responsibilities
As a founding engineer, you'll dive into one or more of our hardest challenges: vertical LLMs, low-latency voice infra, and distributed intelligence systems.
LLM Infrastructure Build and optimise in-house models, training pipelines, and inference systems for scale and low latency.
Voice Systems Push the limits of real-time speech infra with low-latency audio streaming and cutting-edge detection techniques.
Distributed Intelligence Architect data replication pipelines, scheduling, and logging systems that handle millions of conversations daily.
Every line of code you write will power millions of AI-driven conversations and directly impact some of the largest financial institutions in India.
Requirements
Have cracked tough real-world problems at IITs/NITs/BITS or at top companies such as Google, Nvidia, DeepMind, etc.
Have a solid foundation in the fundamentals of computer science.
Have robust proficiency with at least one object-oriented programming language.
Have experience in development using the services of at least one cloud platform.
Have an understanding of the basics of distributed systems.
Company Summary At
Knowl, we're redefining customer engagement with LLM-powered call centers. Our product is already loved by leading companies, backed by top VCs (Series A funded), and crafted by a team of innovators passionate about solving real-world challenges. Our AI agents tackle some of the most operationally intensive problems, driving efficiency and scale like never before.