Platform Engineer at Jobot
San Francisco, CA 94108
About the Job
Bonus + Amazing Benefits + Upward Mobility + Impactful Work
This Jobot Job is hosted by: Ryan Kilroy
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $150,000 - $230,000 per year
A bit about us:
Since early 2024, we’ve grown more than 10x in revenue and users. Now, we’re looking for talented engineers to help us scale further by building out our platform and backend services.
Joining us means becoming part of a talent-dense, early-stage team at what we believe will be a generational company. As one of our earliest team members, you’ll have significant equity ownership and the opportunity to make a massive impact on both Refuel.ai and the world of data.
We believe great companies are built on great data. Today, industry leaders like Amazon, Google, and Meta spend billions and employ thousands of data scientists to manage their data challenges. We are here to change that.
Our platform leverages cutting-edge Large Language Models (LLMs) to help enterprises clean, enrich, and label vast amounts of messy, unstructured data with superhuman accuracy. From recognizing merchants in credit card transactions to enriching business profiles, our users are building world-class solutions to solve their toughest data problems—and we’re just getting started. By breaking the data quality bottleneck, we’re accelerating the era of AI abundance.
Why join us?
The Team
We are a backed by General Catalyst and XYZ Ventures. Our tight-knit team consists of AI innovators from leading tech companies like Meta, Amazon, and Google DeepMind, with academic roots in Stanford, Cambridge, and beyond. We’re based in San Francisco, CA, and are united by a shared passion for building transformative AI tools.
Job Details
As a key member of our engineering team, you’ll have the chance to:
Who You Are
You’ll thrive in this role if you have:
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
This Jobot Job is hosted by: Ryan Kilroy
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $150,000 - $230,000 per year
A bit about us:
Since early 2024, we’ve grown more than 10x in revenue and users. Now, we’re looking for talented engineers to help us scale further by building out our platform and backend services.
Joining us means becoming part of a talent-dense, early-stage team at what we believe will be a generational company. As one of our earliest team members, you’ll have significant equity ownership and the opportunity to make a massive impact on both Refuel.ai and the world of data.
We believe great companies are built on great data. Today, industry leaders like Amazon, Google, and Meta spend billions and employ thousands of data scientists to manage their data challenges. We are here to change that.
Our platform leverages cutting-edge Large Language Models (LLMs) to help enterprises clean, enrich, and label vast amounts of messy, unstructured data with superhuman accuracy. From recognizing merchants in credit card transactions to enriching business profiles, our users are building world-class solutions to solve their toughest data problems—and we’re just getting started. By breaking the data quality bottleneck, we’re accelerating the era of AI abundance.
Why join us?
The Team
We are a backed by General Catalyst and XYZ Ventures. Our tight-knit team consists of AI innovators from leading tech companies like Meta, Amazon, and Google DeepMind, with academic roots in Stanford, Cambridge, and beyond. We’re based in San Francisco, CA, and are united by a shared passion for building transformative AI tools.
Job Details
As a key member of our engineering team, you’ll have the chance to:
- Design, develop, and maintain critical features on our platform, driving projects from idea to production while ensuring scalability, performance, and an exceptional user experience.
- Collaborate with our machine learning and product teams to design APIs and launch new features based on real user needs.
- Rapidly prototype and iterate on our AI-powered features, ensuring our platform remains best-in-class for enterprise data management at scale.
- Help define the direction and growth of our engineering team as we scale, shaping the future of Refuel.ai.
Who You Are
You’ll thrive in this role if you have:
- A strong technical background in Computer Science, Engineering, or a related field.
- Proficiency with Python and experience building data-intensive applications in cloud environments like AWS or GCP (big plus).
- Hands-on experience with LLMs or familiarity with tools like Axolotl, vLLM, Langchain, or other infrastructure and evaluation frameworks (big plus).
- Exceptional communication skills and a collaborative mindset—you enjoy open discussions and working with others to achieve the best outcomes.
- Curiosity and enthusiasm for the startup journey—you’re excited to help build something from the ground up.
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
Salary
150,000 - 230,000 /year
