AI Engineer (chicago) Insight Global

Skills / Requirements

• AI-assisted Development Tools
• AWS
• Azure
• CI/CD
• GCP
• Git
• GitHub Actions
• Go
• Harness
• JavaScript
• Next.js
• Node.js
• OAuth 2.0
• PostgreSQL
• Python
• React
• RESTful API
• Snowflake
• SSO
• TypeScript
• Vibe Coding

Why Apply

This role is ideal for developers who excel with AI tools like Lovable and Claude Code, integrating these with full-stack solutions. You'll leverage AI assistants such as GitHub Copilot to accelerate development processes.

What You'll Be Doing

You'll transform AI-generated front-end prototypes into production-ready applications, integrating them with backend services, APIs, and databases. You'll manage the software lifecycle from coding to deployment, ensuring security and scalability.

Pay and Career Growth

The role offers competitive hourly pay of $70-75, with a focus on diversity and inclusion in the workplace. You'll gain experience in cutting-edge AI development workflows and multi-cloud environments, enhancing your career trajectory.

Benefits and Perks

• diversity commitment
• Equal opportunity employer
• Hybrid work
• Inclusive environment

Is This Role Right for You?

Original Job Description

Job Description

We are seeking an AI Engineer to join our Technology & AI Organization. This role sits at the intersection of AI-assisted application development and full-stack engineering. You will take AI-generated front-end prototypes and transform them into production-grade, fully integrated applications—connecting user interfaces to backend services, APIs, databases, and enterprise systems.

You will work across the full software delivery lifecycle—from vibe-coded prototypes built in tools like Lovable and Claude, through GitHub-managed source control, CI/CD via Harness, and deployment to Vercel, GCP, and Azure. This is a hands-on engineering role for someone who thrives at turning rapid AI-generated concepts into reliable, secure, scalable enterprise software.

Key Responsibilities:

Full-Stack Integration of AI-Generated Applications

• Take front-end applications generated through AI coding tools (Lovable, Claude Code, Cursor) and extend them into full-stack solutions with backend logic, API integrations, and database connectivity.

• Wire up front-end React/Next.js applications to backend services including Supabase (PostgreSQL), Snowflake, Salesforce APIs, and internal microservices.

• Implement authentication and authorization flows using Microsoft Entra ID (Azure AD) SSO, OAuth 2.0, and RBAC patterns.

• Build and maintain RESTful and GraphQL API layers to connect UI components with enterprise data sources.

AI-Assisted Development Workflow

• Operate within Camping World’s “Vibe Code” development workflow: Lovable → GitHub → Claude Code → Wiring → Harness → Azure/Vercel.

• Leverage AI coding assistants (Claude, GitHub Copilot, Gemini Code Assist) to accelerate development while applying engineering judgment to AI-generated output.

• Review, refactor, and harden AI-generated code for production readiness—addressing security vulnerabilities, performance concerns, and maintainability.

• Collaborate with Agent Developers and AI Solution Architects to integrate AI agent capabilities into applications.

DevOps & Deployment

• Manage CI/CD pipelines in Harness for automated build, test, and deployment workflows.

• Deploy applications to Vercel (front-end/serverless), GCP (Kubernetes/Cloud Run), and Azure as required.

• Implement observability with Dynatrace, including application performance monitoring, log analytics, and alerting.

• Follow software supply chain security practices including container image scanning (Chainguard), secrets management (CyberArk), and dependency auditing.

Database & Data Integration

• Design and optimize PostgreSQL schemas (with pgvector for AI/embedding workloads) in Supabase.

• Build data integration pipelines connecting Snowflake data warehouse to application layers.

• Work with Snowflake MCP connectors to enable AI-driven data access within applications.

• Ensure data integrity, query performance, and proper indexing across application databases.

API Management & Security

• Configure and manage APIs through Kong/Konnect API gateway including rate limiting, authentication, and traffic management.

• Implement application security best practices including input validation, prompt injection prevention, and secure coding standards.

• Participate in code reviews with a focus on security and quality of AI-generated code.

Pay Rate: $70-75

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/.

Skills and Requirements

• 4+ years of professional software development experience with at least 2 years in full-stack roles.

• Strong proficiency in JavaScript/TypeScript, React, and Next.js for front-end development.

• Experience with Node.js, Python, or Go for backend/API development.

• Working knowledge of PostgreSQL and at least one cloud data platform (Snowflake, BigQuery, or Redshift).

• Experience with CI/CD pipelines and modern DevOps practices (GitHub Actions, Harness, Jenkins, or similar).

• Familiarity with cloud platforms: GCP, Azure, or AWS (multi-cloud experience preferred).

• Experience implementing OAuth 2.0 / SSO authentication flows (Microsoft Entra ID / Azure AD preferred).

• Demonstrated ability to read, review, and improve code generated by AI tools.

• Strong understanding of RESTful API design, versioning, and documentation.

• Comfortable working in Git-based collaborative workflows with branching strategies and pull request reviews.

• Hybrid/remote work flexibility. 3 Days in Office is a requirement. • Experience with AI-assisted development tools such as Claude Code, Lovable, Cursor, or GitHub Copilot.

• Familiarity with Supabase (PostgreSQL + Auth + Edge Functions) as a backend platform.

• Experience with Vercel for front-end deployment and serverless functions.

• Knowledge of vector databases and pgvector for AI/embedding workloads.

• Experience with Kong or similar API gateway platforms.

• Exposure to Kubernetes, Docker, and container orchestration on GCP or Azure.

• Understanding of AI agent architectures and how applications interact with LLM-based services.

• Experience with Dynatrace, Datadog, or similar APM/observability platforms.

• Familiarity with software supply chain security tools and practices (SBOM, image signing, Chainguard).

• Background in retail, automotive, or RV dealership technology systems is a plus.