Qualifications

• 5-7 years of core development experience in Java and Spring Boot.
• Hands-on experience with APIs and Microservices architecture.
• Concrete machine learning experience is mandatory for at least one candidate.
• Demonstrated expertise in developing applications using Generative AI on Azure AI and Azure Cloud ecosystem for at least two candidates.
• Proficient Java and Spring Boot engineers with a willingness to learn Generative AI on Azure will be considered.
• Familiarity with Lang Graph and Lang Chain is a significant advantage.
• Experience in cloud application development is essential for those without prior AI development experience.

Responsibilities

• Develop and engineer applications leveraging Generative AI technologies.
• Implement APIs and Microservices to enhance application functionality.
• Collaborate with teams to integrate machine learning solutions into existing applications.
• Participate in the deployment process of applications within the Azure environment.
• Continuously learn and adapt to new AI frameworks and tools, particularly those related to Azure.
• Contribute to the design and architecture of scalable applications on the cloud.

Benefits

• Opportunity to work with cutting-edge Generative AI technologies.
• Collaborative work environment that values continuous learning.
• Access to professional development resources and training.
• Potential for growth in the rapidly evolving AI field.