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Brillio is hiring a Senior Product Owner to lead healthcare provider platform initiatives in a remote, AI-first digital engineering environment focused on modernizing provider operations and related workflows.
Brillio is hiring a remote Pharma Product Manager to lead software product strategy and delivery for life sciences solutions supporting pharma pre-clinical, clinical, and manufacturing operations.
Brillio is hiring an AI Product Manager in Jersey City, New Jersey to lead healthcare and pharmacy-focused digital product initiatives that turn business, clinical, and operational needs into measurable AI-enabled outcomes.
Brillio Romania is hiring a Senior Software Development Lead to develop backend services for high-performance, microservices-based systems in Bucharest or remotely.
Forward Deployed AI Engineers at a U.S. digital engineering team will partner with a major healthcare payer to redesign core operations with AI agents and agentic workflows.
Brillio is seeking a Cloud Operations Engineer in Bucharest to support the Playa cloud platform that delivers desktop applications through Microsoft Azure and Azure Virtual Desktop.
Brillio Romania is hiring a Senior Data Scientist to build production-ready speech-to-text and language processing systems for real-world AI applications.
Brillio is seeking a remote System Analyst FX in its Digital Engineering team to support foreign exchange client work by translating business needs into development tasks and delivering production-ready solutions.
Brillio Romania is seeking a Software Development Lead to support a client’s frontend work in Bucharest, focusing on building and improving React-based user interfaces and interactive product features.
Senior Full Stack Developer at Brillio joining the Digital Engineering team in Romania to build secure, scalable enterprise payments applications that support payment processing, transaction management, and financial integrations.
Senior Data Scientist at Brillio Romania within the AI & Data Engineering team responsible for developing, experimenting with, and deploying production-ready machine learning and computer vision solutions on Azure to solve image-processing use cases and deliver business insights.
