[Hiring] AI Engineer @Technotopia Solutions

Role Description

Support the ongoing operation, modernization, and extension of AI-enabled applications for the Department of Banking and other state agencies, which involves working with confidential and regulated financial and examination data. This is a hands-on, applied technical role.

• Work primarily in Python within modern web frameworks (such as FastAPI).
• Deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services).
• Use Git-based source control and pull-request workflows.
• Operate within an AI-assisted software development environment, using modern coding assistants for writing, reviewing, and debugging code.
• Collaborate closely with the Connecticut AI Lab, providing architectural guidance, shared infrastructure, and engineering support for applications.

EXAMPLES OF DUTIES:

• 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.

Qualifications

• 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.