Founding AI Engineer
2 days ago
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.
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.
This job was posted by Ashvin Sharma from Knowl.
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