We believe in the power of Artificial Intelligence to revolutionize the way we interact with computers and the digital world. We are building personalization for LLMs. Our mission is to enable everyone in the world to create personalized experiences like personal Jarvis. These experiences understand users, their daily life, their preferences etc and helps them become more productive and efficient. We're a team of passionate innovators, technologists, and dreamers, and we are looking for extraordinarily folks to join us on this exciting journey. Our team members have worked at companies like Tesla AI, Snap, Khatabook etc.
We are part of Y Combinator S24 batch and have raised our seed round from top tier VCs. We are happy to provide more information about our investments, runway etc during the interview process.
About You:
An autonomous and resourceful engineer with a proven track record of shipping things in production
Demonstrates a growth mindset and a passion for solving challenging problems
1+ years of experience working with LLMs
4+ years of experience building AI/ML models and putting them in production, preferably using PyTorch
Bonus: Experience with Python web frameworks and frontend frameworks like React and NextJS
Own problems end-to-end, and be willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed
Have a humble attitude and an eagerness to help others with empathy
Have a desire to work directly with technical and non-technical customers, be a good listener and interpreter of their needs, and not be afraid to inquire deeper
Responsibilities:
Designing and building large-scale retrieval pipelines for improving personalization stack
Work directly with customers to understand their needs and help us prioritize the efforts accordingly
Experimenting and improving our architectures for better quality, expressiveness, and latency
Enhancing inference infrastructure to reduce costs and latency
Scaling and optimizing LLM distributed training infrastructure