Jobs at Cresta

The Senior Frontend Software Engineer will lead frontend development, focusing on screen capturing systems and enhancing compliance through technical ownership of the Cresta platform.

As a Machine Learning Engineering Intern at Cresta, you'll design, develop, and deploy AI Agent solutions, collaborating across teams to implement cutting-edge AI technologies in practical applications.

As a Product Design Intern, you'll design user experiences for AI Agent products, conduct user research, prototype, and collaborate with teams to enhance product strategy and usability.

Assist in designing AI conversation models for contact center agents, collaborating with various teams, and supporting project delivery.

As a full-stack software engineer intern, you'll collaborate with senior engineers to write quality code, build AI-driven products, and improve engineering productivity.

The AI Quality Assurance Intern will evaluate AI systems' behavior and accuracy, ensuring they perform as intended and meet business logic requirements.

The Technical Recruiter will drive the full recruitment cycle, focusing on attracting and engaging engineering talent while collaborating with hiring teams and improving talent acquisition practices.

As a Senior Machine Learning Engineer, you'll design and develop AI systems, focusing on LLMs and improving agent performance while mentoring engineers.

The Senior Software Engineer will enhance the platform through collaboration, technical leadership, and by developing high-quality frontend components, ensuring best practices and performance.

The Senior Software Engineer will be responsible for full stack authentication systems, collaborating with product teams, and ensuring security standards while maintaining high coding practices.

The Senior Frontend Engineer will develop and improve the Cresta platform, focusing on frontend engineering, coding, architecture, and customer-facing components, while ensuring high standards in performance and security.

As a Senior Fullstack Engineer, you'll develop and maintain features for our no-code platform, create UI components, and implement backend services while collaborating across teams.

Lead architecture and evolution of scalable, fault-tolerant backend systems powering real-time AI agents and conversation intelligence. Design data storage and retrieval, partner with ML engineers to operationalize AI, drive production performance, cost efficiency, observability, and mentor senior engineers while owning production reliability.

Design and advance core infrastructure for engineering, ensure Kubernetes reliability, automate operations, and support AI infrastructure.