ezCater is looking to leverage LLMs and machine learning to help customers find food and curate crowd-pleasing orders, enabling them to quickly, seamlessly, and confidently place their ideal order for any event.
Requirements
- Proficiency in Python and comfort with additional languages such as Javascript/Typescript.
- Experience with frameworks like FastAPI and working knowledge of SQL (e.g., Postgres).
- Relevant experience with Large Language Models (LLMs), including 1+ years working on AI-powered systems or products and hands-on experience deploying Generative AI technologies (Agents, RAG, vector databases, etc.) to production.
Responsibilities
- Build products utilizing Python, FastAPI, GraphQL, and Typescript.
- Work directly with Autonomous Agents, LLMs and ML models to drive innovation, staying current on the latest techniques in prompting, agents, and LLM evaluation.
- Plan and organize projects, decompose problems, design technical solutions, and work with other talented engineers to implement, test, and evaluate your team’s work.
- Embrace scale and speed throughout the development lifecycle.
- Partner cross-functionally with product managers, designers, stakeholders, and other engineering teams to ensure that we build the right things the right way.
Other
- 5+ years of professional experience, preferably in full stack engineering roles.
- A friendly, flexible, and pragmatic disposition.
- Strong communication and collaboration skills, with the ability to work both autonomously and in a highly cross-functional team environment.
- A growth mindset characterized by an appetite for learning, experimentation, and relentless curiosity that you leverage for continuous product and personal improvement.
- ezCater does not sponsor applicants for work visas or legal permanent residence.
