VibeCodeCareers 
Hybrid role in Lincolnshire, Illinois for a mid-level AI Engineer. Insight Global seeks a professional to transform AI-generated prototypes into production-ready applications, integrating front-end interfaces with backend services and enterprise systems.
Skills / Requirements
- AWS
- Azure
- CI/CD
- GCP
- GitHub Actions
- Github Copilot
- Go
- Harness
- JavaScript
- Microsoft Entra ID
- Next.js
- Node.js
- OAuth 2.0
- PostgreSQL
- Python
- React
- RESTful API
- Snowflake
- SSO
- TypeScript
- Vibe Coding
Why Apply
This role leverages AI coding tools like Claude, Lovable, and GitHub Copilot to accelerate development, making it ideal for those skilled in AI-assisted workflows. You'll refine AI-generated code for production, ensuring security and scalability.
What You'll Be Doing
You'll transform AI-generated front-end prototypes into full-stack applications, connecting them to backend services, APIs, and databases. This involves using AI tools to develop, review, and enhance code, ensuring it's ready for production deployment.
Working in Lincolnshire, Illinois
- Lincolnshire offers a suburban setting with proximity to Chicago, providing a balance of quiet living and access to urban amenities.
- The area has a strong job market with opportunities in tech and adjacent fields, making it appealing for career growth.
- Lincolnshire is known for its good schools and community services, ideal for professionals with families.
- Public transportation options connect Lincolnshire to Chicago, easing commutes for those working in the city.
- The cost of living in Lincolnshire is generally lower than in Chicago, offering more affordable housing options.
Pay and Career Growth
The role offers competitive hourly compensation between $70-$75. The hybrid work model provides flexibility, with three days in-office required. The company emphasizes diversity and inclusion, fostering a supportive work environment.
Benefits and Perks
- competitive salary
- Equal opportunity
- Hybrid work
- Inclusive environment
Is This Role Right for You?
Good fit if you...
- Experienced in AI-assisted development tools like Claude and GitHub Copilot.
- Proficient in full-stack development with a focus on integrating AI-generated front-ends with backend systems.
- Comfortable with hybrid work, spending three days a week in the Lincolnshire office.
May not be for you if...
- Lacks experience with AI coding tools and AI-generated code refinement.
- Prefers fully remote work without any in-office days.
- Unfamiliar with integrating front-end applications with enterprise backend systems.
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.
