Character.AI

Backend Engineer

• Architect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.
• Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks.
• Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges.
• Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems.
• Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities.
• Mentorship & Leadership: Provide technical guidance and mentorship to other engineers on the team and across the organization.
• Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development.
• System Optimization: Continuously analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and ML models.
• Stay Current: Keep abreast of emerging threats, new technologies, and advancements in backend engineering and ML applications.

Software Engineer, Backend - Applied ML, Safety & Integrity

• Design, develop, and maintain scalable backend services that support our applications and infrastructure.
• Implement secure and efficient APIs to support frontend applications and third-party integrations.
• Optimize system performance, reliability, and scalability through effective architecture and engineering best practices.
• Work closely with product managers, data analysts, and frontend engineers to develop backend solutions that align with business and user needs.
• Ensure high availability, fault tolerance, and performance of backend systems.
• Monitor system health, troubleshoot issues, and implement improvements to enhance efficiency and stability.
• Maintain security best practices to protect user data and system integrity.
• Stay up to date with industry trends and emerging technologies in backend development and distributed systems.