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ABOUT THE JOB: Design, build, and maintain scalable Data and AI solutions in production environments. Lead the development and integration of AI and Generative AI models into backend systems. Define system architectures, APIs, and deployment strategies using containerized environments. Implement Docker- and Kubernetes-based solutions for scalable and reliable deployments. Ensure security-by-design principles across data pipelines, APIs, and AI services. Collaborate with product, data, and frontend teams to deliver end-to-end solutions. Review code, mentor junior and mid-level engineers, and promote engineering best practices. Optimize performance, reliability, and scalability of AI-enabled services. Contribute to continuous improvement of development standards and technical processes.
Job Responsibility:
Design, build, and maintain scalable Data and AI solutions in production environments
Lead the development and integration of AI and Generative AI models into backend systems
Define system architectures, APIs, and deployment strategies using containerized environments
Implement Docker- and Kubernetes-based solutions for scalable and reliable deployments
Ensure security-by-design principles across data pipelines, APIs, and AI services
Collaborate with product, data, and frontend teams to deliver end-to-end solutions
Review code, mentor junior and mid-level engineers, and promote engineering best practices
Optimize performance, reliability, and scalability of AI-enabled services
Contribute to continuous improvement of development standards and technical processes
Requirements:
Bachelor’s degree in Computer Science, Information Systems, or a related field
At least 5 years of experience in Software Engineering, AI Engineering, or Data Engineering (with AI exp)