Description
About Refuel.ai
The Mission
Great companies are built on great data. The most successful companies - think Amazon, Google and Meta - employ thousands of data scientists, and spend billions on infrastructure and human operations to solve this problem today.
Refuel’s platform enables enterprises to clean, enrich and label their mountains of messy, unstructured data at superhuman accuracy, by leveraging state-of-the-art LLMs. Recognizing merchants in credit card transactions, parsing candidate resumes, enriching business profiles, standardizing product catalogs – these are just a few examples of applications that our users are building with Refuel, and we’re just getting started. With LLMs, we believe we can solve this data quality bottleneck for every single enterprise in the world, and accelerate the era of AI abundance
The team
Refuel was founded by Rishabh Bhargava and Nihit Desai, and is backed by General Catalyst and XYZ Ventures. We are a small, tightly knit team of builders with deep backgrounds in AI, having worked at the world's leading technology companies and institutions such as Meta, Google Deepmind, Amazon, Lyft, Primer.ai, Stanford and Cambridge. We work out of our offices in San Francisco, CA.
What you will do
- Design, develop, and maintain critical platform features from idea to completion, ensuring they meet our standards for scalability, performance, and user experience
- Work closely with our machine learning and product teams to design APIs and implement new features in response to user feedback
- Rapidly prototype and refine Refuel’s applied AI functionalities to make sure we are the best in class platform for enterprises to clean, enhance and label data at scale
- Help spearhead the direction of our engineering team as we scale
You will be a great fit if you have
- A strong technical background in Computer Science, Engineering or a related field
- Proficiency with Python, and prior experience building data-intensive applications on cloud environments such as AWS or GCP is a big plus
- Prior experience with LLMs, or infrastructure & tooling ecosystem around LLMs (Axolotl, vLLM, Langchain, DSPy, evaluation frameworks etc) is a big plus
- Strong communication skills and willingness to work in a collaborative environment. We encourage open discussion and want the best ideas to win.
- A curiosity about the early startup and company building journey
What we offer
Since the start of 2024, we have grown more than 10x in terms of revenue and users. We are looking for engineers to lead the development of Refuel’s platform and backend services.
This is an opportunity to join a talent-dense early team, and what we believe will be a generational company. As a member of our early team, you will have meaningful equity ownership in the company, and more importantly the opportunity to have a massive impact.
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