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. This role involves assessing AI-generated code, refactoring codebases, and collaborating with teams to ensure production readiness of AI applications.

Responsibilities

• Receive prototype applications and conduct structured assessments covering security posture, data model integrity, authentication and authorization flows, input validation, dependency hygiene, and test coverage quality
• Identify and document failure patterns endemic to AI-generated code including hardcoded secrets, flat or unindexed schemas, missing error handling, and hallucinated or unpinned dependencies
• Produce clear remediation plans with prioritized findings, working within the architectural standards set by the Full-Stack Systems Architect
• Refactor and harden AI-generated codebases to meet enterprise production standards across frontend frameworks, backend APIs, data modeling, and authentication systems
• Replace or rewrite AI-generated test suites against human-reviewed acceptance criteria, ensuring coverage reflects real production behavior rather than checkbox validation
• Use AI-augmented development tools (Cursor, Claude Code, GitHub Copilot) to accelerate remediation work while exercising independent judgment on when AI tooling is introducing new risk
• Document recurring AI code failure patterns and contribute to a growing internal knowledge base
• Feed pattern intelligence back upstream to improve prototype quality at the source, collaborating with developers and architects to reduce remediation burden over time
• Stay current on AI-assisted development tooling, emerging failure modes, and production readiness best practices
• Partner with application teams, architects, and business stakeholders to align on readiness criteria and timelines
• Communicate technical findings clearly to both engineering and non-technical audiences
• Provide guidance and thought leadership on responsible use of AI development tools within the engineering organization

Skills

• Understanding and hands on 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: 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
• Ability to distinguish between AI tooling as an accelerant versus AI tooling compounding a problem
• Experience implementing or validating secure authentication flows (OAuth 2.0, JWT, session management)
• Understanding of CI/CD pipeline requirements, environment configuration, and secrets management
• Ability to evaluate test quality and replace AI-generated checkbox tests with coverage that reflects real production behavior
• Strong written and verbal communication skills with the ability to present technical findings to non-technical stakeholders
• Proven ability to work both independently and within cross-functional engineering teams
• Self-starter with strong problem-solving skills and a bias toward documentation and knowledge sharing
• 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
• Hands-on experience building MCP servers or LLM tool-use integrations
• Hands-on experience building agentic agents in Gemini/Vertex, OpenAI, Claude, or other AI Tools
• Expertise in CI/CD pipelines
• Experience with Kong, Kuma, or comparable API/service mesh tooling
• Exposure to AI-assisted development platforms (Lovable, Cursor, Claude Code)
• Experience with monitoring and observability platforms (Dynatrace)

Benefits

• 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 benefit package including medical, dental, vision and more
• Access to dental & vision coverage

Company Overview