AI Production Readiness Engineer

Camping World Holdings is seeking an AI Production Readiness Engineer to bridge their cloud and DevOps operations with a next-generation AI-powered development platform. The role involves owning the platform underpinning the DevOps practice while driving AI development pipeline strategy and modernizing the delivery toolchain.ResponsibilitiesProduction Readiness AssessmentReceive prototype applications and conduct structured assessments covering security posture, data model integrity, authentication and authorization flows, input validation, dependency hygiene, and test coverage qualityIdentify and document failure patterns endemic to AI-generated code including hardcoded secrets, flat or unindexed schemas, missing error handling, and hallucinated or unpinned dependenciesProduce clear remediation plans with prioritized findings, working within the architectural standards set by the Full-Stack Systems ArchitectCode Remediation & HardeningRefactor and harden AI-generated codebases to meet enterprise production standards across frontend frameworks, backend APIs, data modeling, and authentication systemsReplace or rewrite AI-generated test suites against human-reviewed acceptance criteria, ensuring coverage reflects real production behavior rather than checkbox validationUse AI-augmented development tools (Cursor, Claude Code, GitHub Copilot) to accelerate remediation work while exercising independent judgment on when AI tooling is introducing new riskPattern Recognition & Knowledge ManagementDocument recurring AI code failure patterns and contribute to a growing internal knowledge baseFeed pattern intelligence back upstream to improve prototype quality at the source, collaborating with developers and architects to reduce remediation burden over timeStay current on AI-assisted development tooling, emerging failure modes, and production readiness best practicesCollaboration & CommunicationPartner with application teams, architects, and business stakeholders to align on readiness criteria and timelinesCommunicate technical findings clearly to both engineering and non-technical audiencesProvide guidance and thought leadership on responsible use of AI development tools within the engineering organizationSkillsUnderstanding and hands on full-stack fundamentals across at least one major frontend framework (React, Vue, Angular), backend API development, relational data modeling, and authentication systemsProficiency in Python, JavaScript/TypeScript, and at least one additional backend languageSolid understanding of RESTful API design, database schema design, and ORM patternsExperience with version control discipline, branching strategies, and code review processesAbility to identify AI-generated code failure modes: hardcoded credentials, hallucinated libraries, flat schemas, checkbox tests, missing error handling, and over-reliance on happy-path logicPractical experience evaluating AI tool output for correctness, security, and production viabilityAbility to distinguish between AI tooling as an accelerant versus AI tooling compounding a problemExperience implementing or validating secure authentication flows (OAuth 2.0, JWT, session management)Understanding of CI/CD pipeline requirements, environment configuration, and secrets managementAbility to evaluate test quality and replace AI-generated checkbox tests with coverage that reflects real production behaviorStrong written and verbal communication skills with the ability to present technical findings to non-technical stakeholdersProven ability to work both independently and within cross-functional engineering teamsSelf-starter with strong problem-solving skills and a bias toward documentation and knowledge sharingBachelor's degree in computer science, Information Systems, or a related field; equivalent professional experience considered1+ years of full-stack software development experience1+ 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 disciplinesDemonstrated experience identifying and remediating vulnerabilities in production codebasesHands-on experience building MCP servers or LLM tool-use integrationsHands-on experience building agentic agents in Gemini/Vertex, OpenAI, Claude, or other AI ToolsExpertise in CI/CD pipelinesExperience with Kong, Kuma, or comparable API/service mesh toolingExposure to AI-assisted development platforms (Lovable, Cursor, Claude Code)Experience with monitoring and observability platforms (Dynatrace)BenefitsPaid Time Off401(k)Employee Assistance ProgramGood Sam Roadside AssistanceDiscountsPaid parental leave (if eligibility is met)Tuition Reimbursement (if eligibility is met)On the job training opportunitiesComprehensive benefit package including medical, dental, vision and more!Access to dental & vision coverage!Company OverviewCamping World is an American corporation specializing in selling parts and service for recreational vehicles and supplies for camping. It was founded in 1966, and is headquartered in Bowling Green, Kentucky, USA, with a workforce of 10001+ employees. Its website is https://investor.campingworld.com.



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