Technical Support Engineer /AI Engineer

Role DescriptionThe Technical Support Engineer / AI Engineer is responsible for providing technical support while developing, implementing, and optimizing AI-powered applications and intelligent systems. This role combines technical troubleshooting with AI solution development to ensure reliable system performance, operational efficiency, and an excellent user experience.Key responsibilities include diagnosing and resolving software, application, and system issues through troubleshooting, root cause analysis, and technical support. The role monitors system performance, maintains technical documentation, and provides guidance to users on system functionality, configurations, and best practices to ensure smooth day-to-day operations.On the AI engineering side, the position supports the design, development, integration, and deployment of artificial intelligence and machine learning solutions. Responsibilities include preparing and processing data, developing automation workflows, integrating AI models with existing applications through APIs, evaluating model performance, and optimizing AI-driven features for accuracy, scalability, and reliability.The role participates in the software development lifecycle by supporting system design, testing, debugging, deployment, and ongoing maintenance of AI-enabled applications. It also contributes to process automation, performance optimization, and continuous improvement initiatives to enhance product quality and operational efficiency.Collaboration with software developers, product managers, data specialists, and cross-functional stakeholders is essential to understand technical requirements, implement system enhancements, and resolve complex technical challenges. The role also stays informed about emerging AI technologies, industry trends, and best practices to support innovation and continuous product improvement.QualificationsStrong understanding of technical support processes, software troubleshooting, system administration, and application support methodologies. Ability to diagnose technical issues, perform root cause analysis, and deliver effective solutions.Knowledge of artificial intelligence, machine learning, data processing, model deployment, and AI application integration. Familiarity with AI frameworks, cloud-based AI services, and automation technologies is an advantage.Proficiency in programming or scripting languages, API development and integration, database concepts, and software development fundamentals. Understanding of RESTful APIs, application architecture, and system integration principles.Strong analytical and problem-solving skills with the ability to evaluate technical issues, optimize system performance, and support AI-powered solutions throughout their lifecycle.Excellent written and verbal communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences. Strong organizational skills, attention to detail, adaptability, and the ability to manage multiple priorities in a collaborative and fast-paced environment.