Founding AI Engineer – AI Infra

Knowl is building the technology stack for the worlds most intelligent call centre conversationspowered by Generative AI to deliver human-like interactions and real-time decisioning at massive scale.

Were a fast-growing, VC-backed startup trusted by Indias largest fintechs, NBFCs, banks, and insurers.

• 2M+ AI-driven calls every day
• Sub-500ms latency for seamless, natural conversations
• Deep tech stack across LLMs, speech infra, and real-time systems

As a founding engineer, youll 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.

• 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

BONUS:

• Have experience in writing low-latency applications
• Have worked at the intersection of distributed systems, ML, and product before
• Have experience in multi-threading and asynchronous programming
• Have experience in architecting large-scale distributed systems
• Have contributed at any stage in the lifecycle of LLMs. Including but not limited to data creation, training techniques to optimise inference.

Experience: 25 years (or equivalent depth)

Compensation: No cap for the right talent + Real ESOPs