Join our Technology & Transformation practice in Bengaluru, where we leverage cutting-edge AI to unlock the potential of vast data landscapes. We provide strategic guidance and implementation services, transforming disparate data into actionable insights for fact-driven decision-making.

This role focuses on building intelligent, high-quality software solutions. You will integrate AI-powered services, validate AI outputs, and champion responsible AI principles throughout the development lifecycle. Collaboration with global, cross-functional teams is key to delivering innovative healthcare products using emerging AI and modern engineering practices. Ensuring software quality through automated testing and continuous delivery is paramount.

Design, develop, and maintain robust software solutions, enhancing applications with AI capabilities. Integrate and validate AI-powered services, ensuring adherence to responsible AI principles in all development stages.

Collaborate closely with global, cross-functional teams to bring innovative healthcare products to life, embracing new AI technologies and advanced engineering methodologies. Uphold software quality standards through comprehensive automated testing, continuous delivery, and rigorous validation of AI-enabled features.

We seek a Senior Consultant with 4-7 years of software development experience, proficient in modern engineering practices. A strong grasp of software architecture, object-oriented programming, design principles, and enterprise-scale cloud-native applications is essential.

Expertise is required in C#, .NET, .NET Core, REST APIs, and microservices. Front-end proficiency includes Angular, React, JavaScript, TypeScript, HTML5, and CSS. Cloud and DevOps skills are vital, encompassing Microsoft Azure, Docker, Kubernetes, Azure DevOps, and CI/CD pipelines.

Essential AI engineering experience involves integrating AI services or LLMs, utilizing AI-assisted development tools like GitHub Copilot, applying context engineering, and adhering to responsible AI practices. Software quality assurance is critical, covering test automation, TDD/BDD, secure coding, performance optimization, observability, and monitoring.