Remote AI Engineer

Insight Global
Hartford, CT, United States
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$95,680.0 - $118,560.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Cloud Storage Data Infrastructure Django Web Framework Integrated Development Environments Python (Programming Language) Software Tools Cloud Services Secure Coding Software Engineering Data Streaming
+7 more
Web Applications Web Application Frameworks Flask (Web Framework) Git Fastapi Software Version Control Key Vault

Job description

We are looking for an AI Engineer to join a state government client remotely in EST. This role will support the ongoing operation, modernization, and expansion of AI-enabled applications for multiple state agencies, working with highly confidential and regulated financial and examination data. The AI Engineer will serve in a hands-on technical capacity, developing, enhancing, and maintaining modern AI-powered applications and supporting services using Python and web frameworks such as FastAPI. This individual will deploy, configure, monitor, and troubleshoot solutions within the Microsoft Azure ecosystem, leveraging services such as App Service, Storage Accounts, and Key Vault while utilizing Git-based source control and pull request workflows. Operating in an AI-assisted software development environment, the analyst will use modern coding assistants as a core part of the development lifecycle, directing AI tools, validating outputs, and delivering reliable production-ready solutions. The role will partner closely with customers, business stakeholders, and the Connecticut AI Lab to analyze requirements, design and implement application enhancements, develop data flows and integrations, document technical processes, evaluate emerging technologies, and ensure secure development practices for applications handling sensitive data. The ideal candidate will be capable of taking solutions from initial intake through deployment while contributing to the advancement of AI capabilities across Connecticut state government.

Requirements

5+ years of experience as an AI Engineer or related role 5+ years of software development experience with strong proficiency in Python. Experience developing and supporting web applications using frameworks such as FastAPI, Flask, or Django. Hands-on experience deploying and maintaining applications in Microsoft Azure, including App Service, Storage, Key Vault, and related cloud services. Experience using Git, source control best practices, and pull-request-based development workflows. Understanding of AI-assisted software development tools and the ability to leverage, validate, and troubleshoot AI-generated code. Knowledge of secure application development practices and experience working with confidential, regulated, or sensitive data environments.

Nice to Have Skills & Experience

State government experience

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.insightglobal.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

4:55 min

Centralizing credentials management using Azure Key Vault resource integration

Marcel Lupo · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:21 min

Structuring the backend architecture of machine learning workspaces

Jose Luis Latorre Millas · LIVE

1:42 min

Introduction to the fast API web framework

Sebastián Ramírez · WWC 2022

Videos

See all

Related articles

See all