Note: The job is a remote job and is open to candidates in USA. Dice is seeking an AI Engineer to support the ongoing operation, modernization, and extension of AI-enabled applications for the Department of Banking and other state agencies. The successful candidate will work primarily in Python within modern web frameworks and collaborate closely with the Connecticut AI Lab to develop AI solutions.
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
- Python development in a Web environment that handles application logic and web APIs
- Experience building applications powered by large language models (LLMs) such as Google Gemini, Anthropic Claud, or OpenAI GPT
- Professional experience related to comparing & selecting AI models (for example, A/B testing two models on a task)
- EXCEPTIONAL COMMUNICATION skills - both oral and written are REQUIRED
- 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
- Experience deploying applications and supporting services in cloud environments
- Deployed and maintained services on Microsoft Azure (App Service, Storage, Key Vault and related services)
- Experience using Git-based source control and pull-request workflows
- Previous experience working directly with a state government agency in AI development
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