Abaqus builds investment technology for institutional clients in Latin America, operating a polyglot backend (Java/Spring, Python/Django, Kafka/RabbitMQ) deployed across AWS, Azure, and GCP. The engineering-heavy, senior-weighted team is actively integrating AI agents into client workflows and training local development teams on those implementations — suggesting a shift toward AI-assisted advisory and workflow automation in institutional investing.
Abaqus is a fintech company founded in 2014 and based in Santiago, Chile, serving B2B and B2C segments in the investment and financial advisory space. The company addresses technology deficits in institutional investment operations — specifically high costs, limited scalability, and slow technology adoption. Their platform integrates with client architecture across multiple cloud providers and message brokers, supporting both mobile (Android/Kotlin) and web (React/React Native) interfaces. The organization operates lean at 11–50 employees with hiring activity in Chile and Brazil.
Java, Spring Boot, Hibernate, Python, Django, FastAPI, React, React Native, Android, Kotlin, with Kafka and RabbitMQ for messaging. Infrastructure runs on AWS (ECS, RDS), Azure, and GCP. CI/CD via Jenkins and GitHub Actions.
Primary focus is implementing AI agents into client investment workflows and training development teams on AI technology adoption. Secondary work involves technical integration with existing enterprise and client architecture.
Abaqus has 7 active engineering roles and is currently hiring in Chile and Brazil, with minimal posting velocity in the past 30 days.
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