About the job
About Sharebite
Sharebite stands as the premier meal benefits platform dedicated to providing companies with an efficient solution to nourish their employees. Our innovative platform empowers employees to select meals from any restaurant while simplifying the ordering and billing processes for businesses. Each meal ordered contributes to local partners such as City Harvest and Feeding America, combatting food insecurity. To date, we have proudly donated over 15 million meals.
About the Role
We are seeking a talented AI Engineer to join our team and significantly influence how Sharebite leverages AI to enhance both our products and internal operations. Initially, you will collaborate closely with our product and engineering teams to gain a comprehensive understanding of our codebase, core workflows, business logic, and the operational intricacies of our platform. This foundational knowledge is crucial for developing AI solutions that are not only innovative but also genuinely beneficial.
As you advance in this role, you will pinpoint high-impact opportunities to utilize AI in improving efficiency, reducing manual tasks, and enriching the user experience for both customers and internal teams. You will take the lead in designing, constructing, and optimizing AI-driven tools, automations, workflows, and product features that are practical, scalable, and seamlessly integrated into our business operations. This position is perfect for those who wish to merge full-stack engineering with applied AI work and have a meaningful impact on the evolution of our functions over time.
What You’ll Do
- Develop and deploy full-stack features throughout the product as you familiarize yourself with the platform
- Acquire an in-depth understanding of our systems, data models, and business logic
- Spot high-leverage automation opportunities as you learn the workings of the platform
- Design and create AI agents and automated workflows utilizing cutting-edge AI tools
- Incorporate Large Language Models (LLMs) into product workflows in reliable and production-safe manners
- Assess, iterate, and enhance AI systems based on real-world performance
- Work in collaboration with product and engineering teams to address user-facing challenges
- Contribute to defining what responsible and effective AI engineering means for our company
