AI Engineer

Insight Global
Lincolnshire, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 177K

Job location

Lincolnshire, United States of America

Tech stack

JavaScript
Artificial Intelligence
Azure
Google BigQuery
Cloud Computing
Continuous Integration
Relational Databases
Cursor (Graphical User Interface Elements)
DevOps
Programming Tools
Monitoring of Systems
Python
PostgreSQL
Node.js
OAuth
Open Web Application Security
Azure
Next.js
Software Engineering
TypeScript
Datadog
Google Cloud Platform
Enterprise Software Applications
Cloud Platform System
GitHub Copilot
React
Istio
Large Language Models
Snowflake
Software Security
Multi-Cloud
Backend
Vue.js
Containerization
AI Platforms
Angular
Git Flow
Kubernetes
GraphQL
Api Design
Api Gateway
REST
Code Restructuring
Dynatrace
Docker

Job description

We are seeking a highly skilled AI Engineer / AI Platform Engineer to join a forward-thinking Technology & AI organization. This hybrid role sits at the intersection of AI-assisted application development, full-stack engineering, and AI platform/DevOps. You will take AI-generated prototypes and code (from tools like Lovable, Claude, Cursor, etc.) and transform them into secure, scalable, production-grade enterprise applications. You will also own and evolve the underlying AI development platform, build agentic AI systems, refactor/harden AI-generated code, and establish best practices for responsible AI-assisted development. This is a hands-on individual contributor role ideal for someone who thrives on rapidly turning "vibe-coded" AI concepts into reliable, secure, and observable enterprise software while continuously improving the AI development ecosystem itself.

Requirements

  • 5+ years of professional full-stack software development experience (4+ years minimum acceptable with strong AI tooling background).
  • Strong proficiency in JavaScript/TypeScript, React (or Vue/Angular), and Next.js.
  • Backend development experience with Node.js, Python, or Go.
  • Hands-on experience with AI-augmented development tools (Claude Code, Cursor, Lovable, GitHub Copilot, etc.) and the ability to review, refactor, and harden AI-generated code.
  • Experience building or enhancing agentic AI agents and LLM integrations.
  • Solid understanding of PostgreSQL (ideally Supabase + pgvector), relational data modeling, and at least one cloud data platform (Snowflake, BigQuery, etc.).
  • Experience with CI/CD pipelines, Git-based workflows, and modern DevOps practices.
  • Strong knowledge of OAuth 2.0 / SSO (Microsoft Entra ID preferred), RESTful/GraphQL API design, and application security (OWASP Top 10).
  • Familiarity with cloud platforms (GCP, Azure, multi-cloud preferred) and containerization (Docker, Kubernetes). - Direct experience with Supabase, Vercel, Kong API gateway, and Snowflake integrations.
  • Exposure to vector databases / pgvector for AI workloads.
  • Experience with monitoring tools (Dynatrace, Datadog).
  • Knowledge of software supply chain security (Chainguard, SBOM, image signing).
  • Background in retail, automotive, or RV/dealership technology systems.
  • Experience building MCP servers or advanced LLM tool-use integrations.
  • Deep expertise in Kubernetes, service mesh, or advanced CI/CD architecture.

Benefits & conditions

$70 - $85 / hour

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