Refuel solves enterprise data tasks at superhuman accuracy by leveraging state-of-the-art LLMs to build multi-step data transformations. It helps to clean, structure, and transform data at scale using AI, offering features such as data connectors, few-shot selection, and fine-tuning. The platform supports both streaming workloads and batch processing, with enterprise-grade connectors and security. Refuel automates prompt engineering, model evaluation, dynamic few-shot prompting, and hyper-parameter optimization to achieve the highest accuracy possible. It enables rapid scaling with smaller models, eliminating concerns about rate and token limits.

Responsibilities:

1. Work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs.
2. Apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.
3. Leverage your expertise in LLMs and Refuel’s capabilities to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.
4. Diagnose and map customer challenges to Refuel’s product capabilities, while simultaneously anticipating new customer needs.
5. Partner with our engineering team to identify, prioritize, and contribute to new feature development based on customer feedback.

Benefits:

Dental insurance for employees covered 100% by the company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development.