Posted:1 week ago|
Platform:
On-site
Full Time
About Loti AI, Inc Loti is a technology company providing online protection for public figures such as major artists, athletes, executives, and creators. We specialize in identifying and removing infringing content and accounts, managing licenses, and ensuring brand protection in the era of generative AI. Our services include fake account detection, deepfake identification, and automated takedown engines. Loti AI, Inc. is seeking an experienced Backend Engineer to develop and maintain the core server-side components of our applications. You will work closely with front-end engineers, data scientists, and product managers to build reliable and scalable back-end systems that support our AI-driven solutions. Key Responsibilities Backend Development: Design, implement, and maintain scalable and high-performance APIs and microservices. Data Management: Develop data storage solutions and manage large datasets to ensure data integrity and accessibility. Optimization: Optimize back-end systems for performance, scalability, and reliability. Integration: Integrate third-party services, libraries, and APIs to extend application functionality. Collaboration: Work closely with front-end engineers, data scientists, and product managers to align technical and business requirements. Code Quality: Write clean, maintainable, and testable code that follows best practices and ensures high quality. Security: Implement security and data protection measures to safeguard our applications and data. Qualifications Experience: 5+ years of experience in back-end development, preferably with experience in distributed systems. Technical Expertise: Strong proficiency in server-side programming languages, either Python or Node.js. Database Management: Experience with both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases. Cloud Platforms: Hands-on experience with cloud services such as AWS, GCP, or Azure. DevOps: Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and automated deployment. Problem-Solving: Strong analytical and problem-solving skills, with experience in handling complex technical issues. Communication: Excellent communication skills for cross-functional collaboration. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Show more Show less
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