Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Python AI Engineer to support the ongoing operation, modernization, and extension of AI-enabled applications for the Department of Banking and other state agencies. The role involves hands-on technical work primarily in Python, deploying and maintaining services on Microsoft Azure, and collaborating closely with the Connecticut AI Lab.

Responsibilities

• Maintains, enhances, and extends existing applications and supporting services
• Analyzes requirements and participates in project planning sessions with customers, analysts, and team members to provide design recommendations for routine to moderately complex systems
• Prepares source code; debugs and corrects errors; maintains the integrity of software
• Configures, deploys, and monitors applications and supporting services in cloud environments
• Designs and develops routine to moderately complex applications, including data flows, screens, forms, and reports
• Provides technical consultation on routine to moderately complex issues regarding the usage of the infrastructure and integration of applications systems into the infrastructure
• Documents system processes, workflows, and technical procedures
• Participates in the evaluation of new and related technologies
• Performs related duties as required

Skills

• Knowledge of principles and techniques of systems analysis, design, development, and programming
• Knowledge of modern programming languages, with emphasis on Python and related web application frameworks
• Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure
• Knowledge of source control practices, including Git and pull-request-based collaboration
• Knowledge of modern AI-assisted software development workflows and tools
• Ability to compare and select AI models (for example, A/B testing two models on a task)
• Interpersonal, oral, and written communication skills
• Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications
• Ability to take a user request from intake through deployment to production with appropriate guidance

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