Founding Engineer

Responsibilities:

• 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.

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.
• Skills: Python, FastAPI, Azure, AWS, Open Source LLMs PostgreSQL.