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Citi Logo Citi · IT - Administration

Application Production Support Engineer - Generative AI Tools- Assistant Vice President

India, Pune · Job Posted June 17, 2026
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Job Responsibility

  • Provide front-line technical support: Diagnose and resolve production issues related to our generative AI applications, including performance bottlenecks, API errors, data inconsistencies, and infrastructure problems.
  • Monitor application health: Utilize monitoring tools and dashboards to track key metrics, identify anomalies, and proactively address potential issues before they impact users.
  • Incident Management: Follow established incident management procedures to document, escalate, and resolve production incidents, ensuring timely communication with stakeholders.
  • Collaborate with engineering teams: Work closely with development and infrastructure teams to identify the root cause of issues, implement fixes, and prevent future occurrences.
  • Develop and maintain documentation: Create and update technical documentation, including runbooks, knowledge base articles, and troubleshooting guides.
  • Automate support tasks: Identify opportunities to automate repetitive tasks and improve support efficiency through scripting and tooling.
  • Participate in on-call rotation: Provide on-call support on a rotational basis to ensure 24/7 coverage for critical applications.
  • Continuous Improvement: Contribute to the continuous improvement of our support processes and tools by identifying areas for optimization and implementing best practices.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8-13 years of experience in application production support or a related role.
  • Strong understanding of software development lifecycle and DevOps principles.
  • Experience supporting cloud-based applications, preferably on AWS, Azure, or GCP.
  • Change Management , Incdient management , Problem Managemet,Stakeholder management
  • Proficiency in at least one scripting language (e.g., Python, Bash).
  • Familiarity with monitoring tools (e.g., Datadog, Prometheus, Grafana).
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • A passion for AI and machine learning.

Nice to have

  • Experience with generative AI models and algorithms (e.g., GANs, VAEs, Transformers).
  • Knowledge of MLOps principles and practices.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
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