AI Engineer
AllianceIT Inc
United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
A/B Testing
Artificial Intelligence
Application Services
Microsoft Azure
Cloud Computing
Collaborative Software
Computer Programming
Software Debugging
Systems Analysis
Integrated Development Environments
Python (Programming Language)
Key Management
+7 more
Secure Coding
Software Engineering
Web Application Frameworks
Git
Fastapi
Software Version Control
Programming Languages
Job description
- Perform hands-on technical development primarily using Python and modern web frameworks such as FastAPI.
- Develop, deploy, maintain, and support application services using Microsoft Azure, including Azure App Service, Azure Storage, Azure Key Vault, and related Azure services.
- Utilize Git-based source control, including standard branching, version control, and pull-request workflows for collaborative software development.
- Work within an AI-assisted software development environment, using modern coding assistants as part of day-to-day activities such as writing, reviewing, debugging, and improving code.
- Effectively direct and utilize AI coding tools while maintaining responsibility for the resulting code by reviewing, validating, debugging, and ensuring reliable production-ready output.
- Collaborate closely with the Connecticut AI Lab, a centralized team within DAS responsible for supporting the design, development, and deployment of AI-enabled solutions across state agencies.
- Work with the Connecticut AI Lab on applications supporting the Department of Banking, leveraging its architectural guidance, shared infrastructure, and engineering support to maintain and enhance AI-enabled applications.
Requirements
- 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.
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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.
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