Top Tech Jobs & Startup Jobs

Design, train, fine-tune, and deploy production-ready LLM and multimodal AI systems for healthcare. Build voice-enabled conversational interfaces, preprocess and manage large healthcare datasets with privacy controls, implement continuous learning and evaluation pipelines, and ensure model fairness, reliability, and integration into clinical products through cross-functional collaboration and Agile practices.

The Senior QA Engineer will work with development and Product Management to develop quality software, execute test cases, and improve testing processes.

Manage end-to-end execution of customer-impacting initiatives in healthcare, ensuring alignment among product, engineering, and customer success teams while tracking risks and dependencies.

Build and configure multi-step digital care pathways using Contentful and Total.js: implement conditional logic, alerts, enrollment rules, multi-channel messaging, integrations, and testing. Manage content modeling, multi-language assets, QA, documentation, and cross-team collaboration to translate clinical requirements into patient-facing programs.

Lead end-to-end development and productionization of LLM and multimodal healthcare AI systems (text, images, structured data, speech). Fine-tune and deploy models on Azure ML, implement MLOps (serving, monitoring, drift detection, retraining), integrate STT/TTS, ensure HIPAA/GDPR compliance, mitigate bias, collaborate with clinical teams, and provide technical leadership and documentation.

Lead the design and development of scalable cloud-native applications in healthcare, providing technical leadership and ensuring high standards in system architecture, compliance, and mentoring teams.

The Senior AI QA Engineer will design robust testing frameworks for validating clinical pipeline outputs and ensure data integrity through advanced QA practices in AI/ML.

Own technical delivery of the central admin console and content systems: manage CMM, media ingestion/CDN streaming, third-party integrations, device controls, analytics, and cross-functional resiliency and release alignment. Coordinate engineering, backlog, and sprints to scale operational deployments.

Own technical delivery for integration and ecosystem layer: interoperability (HL7/FHIR), reusable APIs, IoT telemetry, multi-tenancy, security (OAuth/OIDC, HIPAA), monitoring, analytics, and cross-functional coordination of backlog and sprints.

Own technical delivery of mobile experiences across iOS, Android and PWAs on BYOD and clinical devices. Drive mobile Gen AI, MDM/security, hardware integrations (camera, biometrics, BLE), app store distribution, analytics, and cross-functional backlog, sprint execution, and engineering coordination.