[Remote] AI Engineer (Remote)
Note: The job is a remote job and is open to candidates in USA. Dice is a recruiting company seeking an AI Engineer for a hands-on, applied technical role. The successful candidate will work primarily in Python to develop AI solutions and collaborate with the Connecticut AI Lab to design, develop, and deploy AI-enabled tools across state agencies.
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 - Required: 3 Years
- Experience building applications powered by large language models (LLMs) such as Google Gemini, Anthropic Claud, or OpenAI GPT - Required: 2 Years
- Professional experience related to comparing & selecting AI models (for example, A/B testing two models on a task) - Required: 2 Years
- 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 - Highly desired: 2 Years
- Deployed and maintained services on Microsoft Azure (App Service, Storage, Key Vault and related services) - Desired: 2 Years
- Experience using Git-based source control and pull-request workflows - Desired: 2 Years
- Previous experience working directly with a state government agency in AI development - Desired: 1 Year
Company Overview