Java Backend & AI Platform Engineer for Real-Time Payments

Flow Global Technology; Austin (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Flow Global Technology is seeking a Backend Engineer to design, build, and support high-throughput, fault-tolerant Java backend systems for asset movement and real-time transaction processing. You will architect AI platform orchestration, deploy backend infrastructure for operationalizing AI/ML models within transactional pipelines, including LLM integration and automated decision engines.

The role also involves modernizing legacy applications into cloud-native microservices, building resilient

Responsibilities

• Design, build, and support high-throughput Java backend systems for asset movement and real-time transaction processing.
• Architect and deploy AI platform orchestration to operationalize AI/ML models in the pipeline, including LLM integration.
• Integrate deep learning and predictive modeling into Move Money workflows to optimize liquidity and routing.
• Partner with data science and cybersecurity teams to inject AI-driven anomaly detection into payment streams.
• Migrate legacy transactional applications to cloud-native microservices with CI/CD patterns.
• Build resilient, asynchronous data pipelines to aggregate transactional metadata for model training.
• Act as the technical bridge between AI DS teams and core Financial Platform architects for production deployments.

Job description

Flow Global Technology is seeking a Backend Engineer to design, build, and support high-throughput, fault-tolerant Java backend systems for asset movement and real-time transaction processing. You will architect AI platform orchestration, deploy backend infrastructure for operationalizing AI/ML models within transactional pipelines, including LLM integration and automated decision engines.

The role also involves modernizing legacy applications into cloud-native microservices, building resilient