Description

Job Description

In this role, you will be a key contributor to the design, development, and deployment of our next-generation AI-powered platform, built on a microservices architecture. You will leverage your expertise in both microservices and AI to create scalable, reliable, and efficient solutions that drive innovation and business value. The ideal candidate should have a strong background in software development, cloud computing, and DevOps practices.

Responsibilities

Key Responsibilities:

• Design, develop, and implement microservices-based applications and platform-as-a-service solutions that leverage semantic technologies.
• System Integration - Design and implement integration points between different systems and ensure that the data flows smoothly between them.
• Develop and deploy AI models within microservices, optimizing for performance and resource utilization.
• Contribute to the development of best practices for building and deploying AI in a microservices environment.
• Mentor developers, provide guidance on technical issues, and ensure that the team adheres to best practices and standards.
• Implement security measures such as access controls, data encryption, and data backups, and ensure that Platform as a Service adheres to compliance requirements.
• Stay up to date with the latest advancements in microservices architecture, AI, DevOps and Cloud technologies.

Qualifications

Requirements:

• Bachelor's degree in computer science
• 8+ years of experience in software development, with a focus on microservices architecture, semantic technologies, and cloud computing.
• Strong knowledge of microservices architecture, RESTful APIs, and containerization technologies (Docker, Kubernetes, etc.).
• Experience working with GEN AI models , RAG & Agentic AI frameworks.
• Experience building and deploying AI models in production environments.
• Expertise in modern software engineering practices, including Agile development, DevOps, and continuous integration/continuous delivery (CI/CD).
• Exposure with cloud platforms such as AWS, Google Cloud Platform.