AI Principal Software Engineer (Java)

Key Responsibilities:

• Drive the technical architecture across the domain, with a focus on modernization, scalability and AI integration.
• Lead the design and implementation of microservices and cloud-native systems.
• Guide the transition from legacy systems to modern distributed systems.

Model Integration & API Development:

• Integrate LLMs and other GenAI models into web applications through efficient API design and implementation.
• Build and optimize API endpoints enabling seamless, real-time communication between front-end applications and back-end AI services.
• Design and develop secure, scalable, and high-performing Java-based microservices for AI model deployment.

Infrastructure & Deployment:

• Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment of AI applications.
• Implement CI/CD pipelines for automated testing and delivery of code changes.
• Maintain scalable and secure cloud infrastructure using platforms such as Google Cloud Platform or Azure for model training, storage, and deployment.