AI Deployment Engineer

Spruce Infotech

Job Location:

Lincolnshire, IL - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

This role focuses on preparing internally developed applications-often built using low-code or AI-assisted tools-for production deployment. The ideal candidate will operate at the intersection of DevOps application engineering and business enablement helping ensure that partially built solutions are secure scalable and ready for enterprise use. This individual will work closely with non-technical personnel (such as business users analysts etc.) and technical development teams to refine harden and deploy solutions effectively.

Key Responsibilities

Assess internally developed applications for production readiness including security performance and scalability
Refactor and enhance partially built solutions (including low-code or AI-generated applications) to meet enterprise standards
Support deployment processes including CI/CD pipelines environment configuration and release readiness
Identify and remediate common issues in AI-generated or prototype code (e.g. security gaps incomplete logic poor test coverage)
Collaborate with business users to understand intent and translate solutions into production-ready implementations
Establish best practices for deployment testing and operational readiness
Document recurring issues and contribute to improving development and deployment standards

Required Skills & Experience

4 years of experience in DevOps software engineering or production support roles
Strong understanding of application deployment CI/CD pipelines and environment management
Experience working with cloud platforms (AWS Azure or GCP)
Familiarity with application security concepts (authentication authorization secrets management)
Experience working with APIs data integration and backend services
Strong communication skills with the ability to work directly with business users

Preferred Skills & Experience

Experience supporting low-code/no-code or AI-assisted development environments
Familiarity with AI tools and generated code patterns (e.g. Copilot Claude Code)
Exposure to containerization and orchestration tools (Docker Kubernetes)
Experience with monitoring observability or performance tuning tools

Key Responsibilities

Assess internally developed applications for production readiness including security performance and scalability
Refactor and enhance partially built solutions (including low-code or AI-generated applications) to meet enterprise standards
Support deployment processes including CI/CD pipelines environment configuration and release readiness
Identify and remediate common issues in AI-generated or prototype code (e.g. security gaps incomplete logic poor test coverage)
Collaborate with business users to understand intent and translate solutions into production-ready implementations
Establish best practices for deployment testing and operational readiness
Document recurring issues and contribute to improving development and deployment standards

Required Skills & Experience

4 years of experience in DevOps software engineering or production support roles
Strong understanding of application deployment CI/CD pipelines and environment management
Experience working with cloud platforms (AWS Azure or GCP)
Familiarity with application security concepts (authentication authorization secrets management)
Experience working with APIs data integration and backend services
Strong communication skills with the ability to work directly with business users

Preferred Skills & Experience

Experience supporting low-code/no-code or AI-assisted development environments
Familiarity with AI tools and generated code patterns (e.g. Copilot Claude Code)
Exposure to containerization and orchestration tools (Docker Kubernetes)
Experience with monitoring observability or performance tuning tools