Lead Production Support Engineer

Key Responsibilities : - Provide technical product support for AI/ML and Generative AI based applications in production environments. - Troubleshoot and resolve application, infrastructure, and model-related issues in Linux-based systems. - Analyze logs, system metrics, and application behaviour to identify root causes and implement fixes. - Work closely with product management, engineering, and DevOps teams to resolve complex technical problems. - Support deployment, monitoring, and maintenance of AI-driven services and APIs. - Assist customers and internal stakeholders with technical queries, incident management, and system troubleshooting. - Automate support tasks using Python scripting to improve operational efficiency. - Monitor system performance and ensure high availability and reliability of AI products. - Document troubleshooting steps, known issues, and product support procedures. Required Skills & Qualifications : - 5 to 12 years of experience in Product Support, Application Support, or Technical Support roles. - Strong proficiency in Python scripting for automation and debugging. - Solid experience working with Linux/Unix environments. - Exposure to Generative AI technologies, LLMs, or AI/ML-based applications. - Experience troubleshooting APIs, microservices, and cloud-based applications. - Good understanding of log analysis, monitoring tools, and incident management processes. - Familiarity with Git, Docker, or containerized environments is a plus. - Strong analytical, problem-solving, and communication skills. Preferred Qualifications : - Experience supporting AI/ML or Generative AI platforms in production. - Experience of LLM frameworks, prompt engineering, or AI model deployment is an added advantage. Education : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. Key Responsibilities : - Provide technical product support for AI/ML and Generative AI based applications in production environments. - Troubleshoot and resolve application, infrastructure, and model-related issues in Linux-based systems. - Analyze logs, system metrics, and application behaviour to identify root causes and implement fixes. - Work closely with product management, engineering, and DevOps teams to resolve complex technical problems. - Support deployment, monitoring, and maintenance of AI-driven services and APIs. - Assist customers and internal stakeholders with technical queries, incident management, and system troubleshooting. - Automate support tasks using Python scripting to improve operational efficiency. - Monitor system performance and ensure high availability and reliability of AI products. - Document troubleshooting steps, known issues, and product support procedures. Required Skills & Qualifications : - 5 to 12 years of experience in Product Support, Application Support, or Technical Support roles. - Strong proficiency in Python scripting for automation and debugging. - Solid experience working with Linux/Unix environments. - Exposure to Generative AI technologies, LLMs, or AI/ML-based applications. - Experience troubleshooting APIs, microservices, and cloud-based applications. - Good understanding of log analysis, monitoring tools, and incident management processes. - Familiarity with Git, Docker, or containerized environments is a plus. - Strong analytical, problem-solving, and communication skills. Preferred Qualifications : - Experience supporting AI/ML or Generative AI platforms in production. - Experience of LLM frameworks, prompt engineering, or AI model deployment is an added advantage. Education : - Bachelor's or Master's degree in Computer Science, Engineering, or related field.