Software Engineer, AI-Native

Insight Global
Des Plaines, IL, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

ASP.NET Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Cloud Computing Code Generation Code Review Continuous Integration Cursor (Graphical User Interface Elements) Entity Framework Integrated Development Environments Microsoft SQL Server
+18 more
SQL Azure Software Architecture Software Tools Azure DevOps Pipelines Software Engineering GitHub Copilot ReactJS Delivery Pipeline Large Language Models Software Troubleshooting Backend Git AngularJS Integration Tests Information Technology Front End Software Development GPT Software Version Control

Job description

Insight Global is seeking a Software Engineer, AI-Native for a leading legal technology and financial solutions client. This engineer will design, build, test, and maintain full-stack features across mission-driven platforms that help streamline complex legal and healthcare workflows. The ideal candidate has hands-on experience with Microsoft development technologies, modern front-end frameworks, cloud-based delivery practices, and AI-assisted engineering tools. This person will work in an agentic development environment where AI supports code generation and testing, while engineers retain ownership of technical judgment, architecture, security, and the quality of everything released.

Day-to-Day

Design and develop full-stack features using C#, ASP.NET Core, Entity Framework Core, SQL Server or Azure SQL, and React or Angular

Write maintainable code supported by unit and integration tests

Participate in code reviews and incorporate constructive feedback

Support Azure DevOps CI/CD pipelines and deployment workflows

Troubleshoot and resolve production issues

Use AI-assisted development tools to accelerate coding, testing, and documentation

Review all AI-generated output for correctness, security, quality, and architectural alignment

Make sound technical and architectural decisions within an agentic engineering model

Collaborate with Product, Quality Engineering, business stakeholders, and engineering peers

Partner with offshore developers to scope assignments, review code, and maintain consistent quality standards

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

Must-Haves

Bachelor’s degree in Computer Science, Software Engineering, a related field, or equivalent professional experience

2+ years of professional software development experience

Proficiency in C# and ASP.NET Core

Experience with SQL Server or Azure SQL and Entity Framework Core

Working knowledge of React or Angular

Experience with Git-based source control, pull requests, and Azure DevOps

Familiarity with CI/CD practices and Agile delivery

Hands-on experience with AI coding assistants and LLMs, such as GitHub Copilot, Cursor, Claude, ChatGPT, or Azure OpenAI

Ability to write and refine structured, context-rich prompts

Ability to evaluate AI-generated code for accuracy, security, architecture, and coding-standard alignment

Foundational understanding of agentic development workflows

Strong troubleshooting, communication, collaboration, and attention to detail Experience building both front-end and back-end features across the full software development lifecycle

Experience supporting production applications

Experience writing unit and integration tests

Exposure to AI-driven code generation and test scaffolding at scale

Experience partnering with offshore engineers

Familiarity with security-conscious code review

Experience working cross-functionally with Product, Quality Engineering, and business stakeholders

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