About the role
Job Description 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 strong foundation in the fundamentals of computer science. - Have strong 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.
Required Skills ['Algorithms', 'Data Structures', 'Distributed Systems', 'Golang', 'Java', 'Python']
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