Full-Time

Software Engineer

Platform

Confirmed live in the last 24 hours

Refuel.AI

Refuel.AI

11-50 employees

AI platform for dataset generation and annotation

Data & Analytics
AI & Machine Learning

Junior, Mid

San Francisco, CA, USA

Hybrid position requiring in-office presence.

Category
Backend Engineering
Software Engineering
Required Skills
LLM
Python
AWS
LangChain
Google Cloud Platform
Requirements
  • A strong technical background in Computer Science, Engineering or a related field
  • Proficiency with Python
  • 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
  • A curiosity about the early startup and company building journey
Responsibilities
  • 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

Refuel.ai provides a platform that uses large language models to help users generate, annotate, and enrich datasets. The platform allows users to specify the types of datasets they need, automating the processes of data creation and labeling. This is especially useful for businesses and researchers who need high-quality labeled datasets for training their AI models. Refuel.ai differentiates itself from competitors by focusing on simplifying the data preparation process, which helps clients in various industries, including technology, healthcare, finance, and academia, to speed up their AI development and deployment. The company's goal is to enhance the efficiency of data preparation, enabling faster and more effective AI model training.

Company Stage

Seed

Total Funding

$10.2M

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

20%

1 year growth

5%

2 year growth

5%
Simplify Jobs

Simplify's Take

What believers are saying

  • Refuel.AI raised $5.2 million in seed funding to expand its platform.
  • The rise of synthetic data generation complements Refuel.AI's data annotation services.
  • AI integration in healthcare presents opportunities for Refuel.AI's high-quality datasets.

What critics are saying

  • Emerging competition could dilute Refuel.AI's market share in dataset automation.
  • Continuous updates to LLMs may strain Refuel.AI's resources and service stability.
  • Data privacy regulations like GDPR could impact Refuel.AI's operations.

What makes Refuel.AI unique

  • Refuel.AI automates dataset creation and labeling using large language models.
  • The platform offers an open-source library, AutoLabel, for flexible data labeling.
  • Refuel.AI targets multiple industries, including technology, healthcare, and finance.

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Benefits

Competitive salary & meaningful equity

Health, vision, & dental insurance

Unlimited PTO

Home office setup

Learning & development

Team retreats