Job
Description
Short Description: We are seeking a highly skilled and experienced Technical Specialist - Microservices + AI Engineer to join our dynamic team. 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: 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. Requirements: Bachelors 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.
