AI Engineer

AllianceIT Inc

United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

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.
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.