Backend Engineer, AI

Candidates must have extensive experience with server-side programming languages such as Java, Scala, Ruby, Python, or Go. Proficiency in designing, implementing, and maintaining RESTful APIs is required, along with a strong foundation in computer science fundamentals like data structures, distributed systems, concurrency, and threading. The role requires comfort in navigating ambiguous challenges within a rapidly evolving domain, a passion for learning new technologies and staying at the forefront of AI advancements, and a strong sense of ownership and accountability. Proven ability to collaborate closely with Product and Design teams to define requirements in a fast-paced, iterative environment is essential, as is a commitment to writing maintainable code, upholding high standards for production systems, and valuing code quality, automated testing, and other engineering best practices. Bonus qualifications include hands-on experience building GenAI features or working with Large Language Models (LLMs) through direct model integration or AI APIs, as well as an understanding of prompt engineering, fine-tuning models, or deploying AI services in production.