To support the development of AI-native solutions, the full-time Principal Systems Engineer will design, build, and deploy production-ready AI agents and models while working flexibly or remotely.
Key responsibilities
Design and implement AI agents, assistants, and reusable skills that address real-world challenges for the organization and its clients Rapidly develop MVPs and collaborate with engineering teams to transition them into reliable, production-ready systems Establish evaluation metrics and processes to ensure the quality, safety, and reliability of deployed solutions Required qualifications Expertise in multi-agent AI solutions with a proven track record of deploying functional AI agents and assistants Hands-on experience with modern agent frameworks and developer tools, including SDKs from top providers Strong skills in building test sets, defining metrics, and conducting evaluations for AI solutions Proficiency in Python and experience integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization technologies Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience