Agentic AI platform for enterprise software engineering and digital transformation
AI/R operates a mid-market engineering organization (5K–10K employees) with a heavy concentration of senior technical staff. The tech stack spans mobile (Kotlin, React Native, iOS), backend systems (Java, Oracle, Kafka), and modern cloud infrastructure (Firebase, GitHub Actions), while actively adopting Kotlin Multiplatform Mobile and Jetpack Compose — indicating a shift toward cross-platform mobile efficiency. Active projects center on financial integrations (card tokenization, wallet APIs), CI/CD modernization, and legacy system rewrites, with stated pain points in mobile security and scaling revenue in regulated environments.
AI/R is an agentic AI software engineering company headquartered in San Francisco. The organization operates across multiple technology domains, combining proprietary AI platforms with partner ecosystems to embed AI into enterprise operations. Current engineering focus spans mobile platform modernization, financial API integrations (card tokenization, wallet systems), marketing integrations, and CI/CD pipeline optimization. The company serves regulated industries (financial services, judicial systems) where data security and integration complexity are primary constraints. Hiring is active but minimal in recent months, concentrated in engineering and marketing roles across the United States and Brazil.
AI/R's primary stack includes Kotlin and Java for backend systems, React Native and iOS for mobile, Oracle and Kafka for data infrastructure, Firebase for cloud services, and Salesforce, MuleSoft, and Adobe Experience Cloud for enterprise integrations. The company is actively adopting Kotlin Multiplatform Mobile and Jetpack Compose.
Active projects include mobile platform modernization, card tokenization and wallet integration for financial services, CI/CD pipeline optimization, Kafka/Oracle system integration, and API development for marketing platforms. The company is addressing legacy system modernization and mobile security as key operational challenges.
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