AI Platform Engineer

Camping World

. Conduct structured production-readiness assessments of prototype applications .

Posted 9/29/2026full-timeLincolnshire • Illinois • United StatesJunior💰 $77,300 - $118,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong full-stack development capabilities with proficiency in Python, JavaScript/TypeScript, and experience in application security and AI-augmented development tools. Skilled in implementing secure authentication flows, CI/CD pipeline requirements, and evaluating AI-generated code for vulnerabilities.

Highest-signal resume keywords

Full-Stack DevelopmentApplication SecurityAI-Augmented Development ToolsCI/CD Pipeline ExpertiseSecure Authentication Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptTypeScriptReactVueAngularRESTful API DesignDatabase Schema DesignORM PatternsUnit Testing

Soft Skills

Strong Communication SkillsIndependent WorkCross-Functional Collaboration

Tools & Technologies

AI Development ToolsGitHub CopilotOAuth 2.0JWTCI/CD ToolsKongKumaMonitoring Platforms

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceInformation Systems

Industry Keywords

OWASP Top 10Injection FlawsAuthentication FlowsVersion ControlProduction Readiness

Tech Stack

Tools & technologies

AngularCloudJavaScriptPythonReactTypeScriptVue.js

About the role

Key responsibilities & impact

Conduct structured production-readiness assessments of prototype applications
Assess security posture, data model integrity, authentication and authorization flows, input validation, dependency hygiene, and test coverage
Identify and document failure patterns in AI-generated code
Produce prioritized remediation plans within architectural standards
Refactor and harden AI-generated codebases across frontend frameworks, backend APIs, data modeling, and authentication systems
Replace or rewrite AI-generated test suites against human-reviewed acceptance criteria
Use AI-augmented development tools to accelerate remediation while identifying risks introduced by those tools
Identify and remediate injection flaws, broken authentication, insecure direct object references, exposed secrets, and credentials
Implement and validate secure authentication and authorization patterns
Ensure applications meet CI/CD pipeline and version control standards before production deployment
Document recurring AI code failure patterns and contribute to an internal knowledge base
Feed pattern intelligence upstream to improve prototype quality
Stay current on AI-assisted development tooling, emerging failure modes, and production-readiness best practices
Partner with application teams, architects, and business stakeholders on readiness criteria and timelines
Communicate technical findings to engineering and non-technical audiences
Provide guidance on responsible use of AI development tools
Report to the Sr. Director of AI & Cloud
Collaborate with platform engineers, application developers, and security and compliance stakeholders
Drive decisions, document work, and support an AI-forward engineering culture

Requirements

What you’ll need

Strong full-stack fundamentals across at least one major frontend framework (React, Vue, Angular), backend API development, relational data modeling, and authentication systems
Proficiency in Python, JavaScript/TypeScript, and at least one additional backend language
Solid understanding of RESTful API design, database schema design, and ORM patterns
Experience with version control discipline, branching strategies, and code review processes
Ability to identify AI-generated code failure modes, including hardcoded credentials, hallucinated libraries, flat schemas, checkbox tests, missing error handling, and over-reliance on happy-path logic
Practical experience evaluating AI tool output for correctness, security, and production viability
Familiarity with OWASP Top 10 and common application security vulnerabilities
Experience implementing or validating secure authentication flows, including OAuth 2.0, JWT, and session management
Understanding of CI/CD pipeline requirements, environment configuration, and secrets management
Experience writing and reviewing meaningful unit, integration, and end-to-end test suites
Strong written and verbal communication skills
Ability to work independently and within cross-functional engineering teams
Bachelor’s degree in computer science, Information Systems, or a related field; equivalent professional experience considered
1+ years of full-stack software development experience
1+ years of hands-on experience with AI-augmented development tools in a professional context (Cursor, Claude Code, GitHub Copilot, or equivalent)
1+ years of experience in application security, code review, or production engineering disciplines
Demonstrated experience identifying and remediating vulnerabilities in production codebases
Strongly preferred: hands-on experience building MCP servers or LLM tool-use integrations
Strongly preferred: hands-on experience building agentic agents in Gemini/Vertex, OpenAI, Claude, or other AI tools
Strongly preferred: expertise in CI/CD pipelines
Strongly preferred: experience with Kong, Kuma, or comparable API/service mesh tooling
Strongly preferred: exposure to AI-assisted development platforms such as Lovable, Cursor, and Claude Code
Strongly preferred: experience with monitoring and observability platforms such as Dynatrace

Benefits

Comp & perks

Paid Time Off
401(k)
Employee Assistance Program
Good Sam Roadside Assistance
Discounts
Paid parental leave (if eligibility is met)
Tuition Reimbursement (if eligibility is met)
On-the-job training opportunities
Comprehensive medical, dental, and vision benefits for full-time associates
Dental and vision coverage access for part-time associates