Backend Engineer (AI Security) (Bengaluru)

Job Overview The Backend Engineer AI Security is responsible for designing and building scalable backend systems that support AI security research and solutions, including model lineage, provenance, policy enforcement, and security analytics services. The role focuses on APIs, data models, and backend services that enable research outputs to be operationalised as reliable platform components. Key Responsibilities - Design and develop backend services and APIs to support AI security scanners, analytics, and platforms. - Implement data models and storage layers for model lineage, provenance graphs, and experiment metadata. - Build backend components to integrate research outputs such as fingerprinting, unlearning, and forensics. - Ensure scalability, reliability, and performance of AI security backend systems. - Collaborate with research engineers, applied researchers, and MLOps teams to enable end-to-end solutions. - Support integration with LG Security Platforms and enterprise deployment environments. - Contribute to backend documentation, service definitions, and technical design artefacts. Job Overview The Backend Engineer AI Security is responsible for designing and building scalable backend systems that support AI security research and solutions, including model lineage, provenance, policy enforcement, and security analytics services. The role focuses on APIs, data models, and backend services that enable research outputs to be operationalised as reliable platform components. Key Responsibilities - Design and develop backend services and APIs to support AI security scanners, analytics, and platforms. - Implement data models and storage layers for model lineage, provenance graphs, and experiment metadata. - Build backend components to integrate research outputs such as fingerprinting, unlearning, and forensics. - Ensure scalability, reliability, and performance of AI security backend systems. - Collaborate with research engineers, applied researchers, and MLOps teams to enable end-to-end solutions. - Support integration with LG Security Platforms and enterprise deployment environments. - Contribute to backend documentation, service definitions, and technical design artefacts.