The developer will maintain and improve existing applications while independently implementing new features and enhancements. They will also contribute to the development of AI-driven solutions, including LLM-based chatbots and backend services.
The AI Developer will design, develop, and maintain REST-based AI services and microservices using Python. They are responsible for managing CI/CD pipelines, containerizing applications, and ensuring system scalability and performance on OpenShift and Kubernetes platforms.
The Business Analyst will gather and document requirements for banking FAQ systems and collaborate with development teams to integrate chatbot solutions. They are also responsible for monitoring user feedback to improve response quality and ensuring project compliance with banking regulations.
The MuleSoft Support Engineer will provide Level 2 operational support by monitoring integration flows and troubleshooting API incidents. They will perform root-cause analysis and collaborate with development teams to implement fixes and ensure platform stability.
Design and architect complex Azure, data, and AI platforms while translating business requirements into scalable technical solutions. Develop data, ETL, and AI workloads, maintain infrastructure as code, and collaborate with stakeholders to optimize system performance.
The role involves designing and governing end-to-end enterprise architectures across cloud, infrastructure, networking, and security platforms. You will collaborate with stakeholders to define architecture standards and lead large-scale digital transformation initiatives.
Maintain an existing application and implement new features using Python and Angular. Develop AI-based solutions with LLMs and manage deployments in OpenShift/Kubernetes environments.
The role involves gathering and documenting business requirements to develop and improve an AI-powered FAQ chatbot for the banking sector. The analyst will collaborate with stakeholders and technical teams to optimize user experience and ensure regulatory compliance.
Develop and maintain backend services and REST APIs for AI-powered document processing applications. Integrate AI services with internal systems and manage deployment using containerization and CI/CD pipelines.
