AgileEngine Benefits Overview

Build and operate production MLOps infrastructure for computer vision models across cloud and edge environments. Responsibilities include CI/CD pipelines, dataset and model versioning, experiment tracking, monitoring, drift detection, GPU optimization, and scalable deployment. Collaborate with data scientists and AI researchers to productionize image and video workloads while optimizing latency, throughput, batching, memory utilization, reliability, and cost.

Develop and maintain React micro-frontend applications for a high-scale payments platform. Build payment-method capabilities, deliver production-ready features and bug fixes, improve reliability, and maintain comprehensive unit, integration, and end-to-end test coverage through GitLab CI/CD. Collaborate on frontend architecture, accessibility, internationalization, API contracts, telemetry, feature rollouts, and distributed-system integrations.

Own and improve AWS cloud infrastructure and DevOps reliability for a regulated healthcare data platform. Operate EKS, Kubernetes, Argo Workflows, and related AWS services; strengthen Terraform-based infrastructure, CI/CD, observability, alerting, incident response, and automation. Lead root-cause analysis, reliability improvements, change and access controls, documentation, and on-call support. Mentor engineers and collaborate with technical, security, governance, analytics, data engineering, and business stakeholders during the LatAm coverage window.