Backend Engineer III

**Backend Engineer III** **$275-350K + Equity | PALO ALTO, CA** **If you have a personal GitHub project with over 500 stars and adhere strictly to test-driven-development approach, please reach out directly to** **tom@chai-research.com** With over 5 trillion tokens served per month to 5 million users, Chai has quickly established itself as the fastest-growing AI startup in Palo Alto. Born in 2021 through bootstrapping and cutting-edge research, we are on a mission to accelerate the advent of AGI through massively distributed collaboration, i.e. crowdsourcing. By appealing to well-known scaling laws, we anticipate that achieving this will require a language model with parameters on the order of about 10 trillion. **Who** ***we*** **are looking for:** We need a software engineer with 2+ years of experience in building scalable infrastructure from the ground up, and who can join our engineering team as we scale from 3-10 engineers in the next year. We need someone who is both reliable and is skilled at big-picture thinking. **Here's why we might not be the right fit for you:** • We work hard and have a high-velocity environment with lots of growth opportunities. • We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing. • You will be responsible and accountable for making high-impact decisions that determine Chai's future **Here are the top 2 reasons why you should join us:** • Exponential growth. 1 Million MAU. Join the team that gets us to 100 million MAU. • Craftsmanship. Build something beautiful. **Requirements:** • Bachelor's, Master, or PhD from a leading academic institution or equivalent experience • 2+ years of experience in software engineering • Familiar with Kubernetes and Python **Here is our tech stack:** • Front end: Python, Flutter, Dart • Back end: Python, GCP, Redis, Kubernetes **Process:** **Exceptionally fast, application to offer within 7 days.** 1. Apply here 2. First round video interview, system design interview, then onsite 3. Reference checks, negotiation, and offer We are happy to sponsor visas for the right candidates.

At CHAI, we are building a platform where anyone is free to submit an LLM. We leverage human-feedback from our million of users to combine these individual LLM's into a meta-model which vastly exceeds the capabilities of any individual model. We believe this approach is the most efficient and fastest route to achieving AGI.