QA Automation Engineer

• Develop and operate scalable AI applications from the backend logic, while focusing on security and operational excellence
• Apply Agentic coding practices to develop new and AI augmented features for the application
• Participate in technology roadmap discussions to turn business requirements into functional autonomous solutions
• Write, debug, and troubleshoot code in mainstream open-source AI technologies and maintain the code base for a Data Analytics and validation platform
• Capture and refine requirements across multi-disciplinary teams
• Perform system validation and ongoing support for application
• Diagnose and resolve performance issues
• Document code/processes so that any other developer is able to dive in with minimal effort
• Integrate our systems with existing internal systems
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network or service operations and quality

Senior AI Automation Engineer

• Designs, builds, and deploys AI-powered automation workflows for clinical and administrative use cases.
• Integrates machine learning models into RPA platforms and enterprise systems.
• Develops APIs and microservices to support automation pipelines.
• Leverages Agent-to-Agent (A2A) protocols to enable secure communication between AI agents.
• Ensures solutions meet scalability, performance, and compliance requirements.
• Provides technical guidance to junior engineers and automation developers.
• Conducts code reviews and enforces best practices in automation development.

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Senior AI Automation Engineer

Senior Artificial Intelligence Automation Engineer