We are looking for a founding engineer with hands-on experience working with LLMs beyond basic prompting. ML background is not required, as long as you have understood LLMs deeply. We are not looking to train our own models, except fine-tuning when required for special use-cases. The role involves understanding and getting into the internals of LLMs, hosting models, optimizing model inference for our use case, setting up evals, and powering the backend for streaming requirements needed to build agents in the next few years.
We're building Aide, an AI-native, privacy-first IDE. With the advent of AI, we believe there is an opportunity and necessity to re-imagine the IDE to be a place where developers and AI are both first-class citizens, and AI can pair-program as well as complete tasks independently.
