As an Engineer at Maze, you'll play a pivotal role in shaping our product, with significant focus on the development of AI Agents and ML systems.

Requirements

7+ years of experience in backend development
Strong experience with backend development, including RESTful API design, database management, and server-side frameworks (e.g., Python)
Working knowledge of machine learning principles and experience integrating LLMs or other AI services into production applications
Familiarity with cloud platforms (e.g., AWS) and their ML services, along with DevOps practices, including CI/CD and containerization (e.g., Docker, Kubernetes)
Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable solutions
Understanding of how to architect systems that effectively leverage AI capabilities while maintaining performance and reliability
Excellent communication skills and the ability to work effectively in a cross-functional team
Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed, particularly in the rapidly evolving AI landscape

Benefits

As an Engineer at Maze, you'll play a pivotal role in shaping our product, with significant focus on the development of AI Agents and ML systems.

7+ years of experience in backend development
Strong experience with backend development, including RESTful API design, database management, and server-side frameworks (e.g., Python)
Working knowledge of machine learning principles and experience integrating LLMs or other AI services into production applications
Familiarity with cloud platforms (e.g., AWS) and their ML services, along with DevOps practices, including CI/CD and containerization (e.g., Docker, Kubernetes)
Strong analytical and problem-solving abilities, with a focus on delivering robust and scalable solutions
Understanding of how to architect systems that effectively leverage AI capabilities while maintaining performance and reliability
Excellent communication skills and the ability to work effectively in a cross-functional team
Comfort working in a fast-paced startup environment with the ability to pivot and adapt as needed, particularly in the rapidly evolving AI landscape