AI Software Engineer

Role Overview: As a Principal AI Software Engineer, you will be responsible for designing, developing, and integrating AI-first microservices, APIs, and workflows to create intelligent systems for cutting-edge digital banking and financial technology solutions. Collaborating with AI architects and full-stack teams, you will embed intelligent automation, real-time analytics, and explainable AI into production environments. Key Responsibilities: - Develop scalable, distributed microservices using Java and Python with embedded AI/ML capabilities. - Build RESTful and GraphQL APIs for AI-driven features like fraud detection and KYC automation. - Manage data using MySQL and MongoDB. - Integrate AI/ML models using various tools. - Implement real-time pipelines with Apache Kafka and Redis Streams. - Align DevOps practices and leverage AWS services. - Develop APIs with authentication protocols. - Collaborate with cross-functional teams. Qualifications Required: - At least 7 years of backend software development experience. - Proficiency in Java, Python, microservices, and API design. - Experience with MySQL, MongoDB, GraphQL, RESTful API development, secure financial systems, AI/ML model integration in production, Apache Kafka, Redis, AWS, Azure, or GCP services, containerization tools, CI/CD pipelines, and modern frontend frameworks. Additional Details: Preferred experience includes real-time AI API deployment, AI applications in FinTech, working with data scientists and AI researchers, and exposure to Southeast Asia FinTech products.,