AI Platform Engineer – Developer & Product Enablement

Job summary

THE OPPORTUNITY: The AI Platform team is seeking an AI Platform Engineer to design and build the foundational systems, APIs, and tooling that empower our engineering and product teams to work efficiently.

Benefits

Qualifications

• The ideal candidate brings deep software engineering fundamentals paired with a clear, collaborative approach to raising the technical bar across engineering cohorts.
• You possess strong capabilities in system design, API design, and distributed infrastructure management.
• 5+ years in software engineering, platform engineering, or infrastructure, with at least 2 years building production AI/ML systems.
• Deep experience with LLM APIs and a strong understanding of how these systems behave under real production load.
• Experience building internal developer platforms, tooling, or shared infrastructure used by other engineers.
• Proficiency in Python and at least one compiled language; comfortable across the full backend stack.
• Preferred: Familiarity with agentic frameworks, RAG architectures, vector databases, or infrastructure-as-code (Terraform).
• Our portfolio unites the most trusted brands in tech, shopping, savings, and lifestyle to help people and businesses thrive.
• The CNET Group stands as the leader in tech media, offering expert editorial, insights, communities, and solutions that reach 81 million unique visitors each month.
• Complementing this, Zif*** Shopping serves as the most trusted purchase companion, delivering exceptional user and partner experiences.
• We connect brands to large, contextually-aligned audiences and help users find the best offers, cash back rewards, seasonal deals, and expert content for all their shopping needs.
• Together, we provide a comprehensive destination for expert guidance, from critical tech decisions to everyday purchase solutions.

Responsibilities

• The individual in this position will own the lifecycle of internal AI APIs, SDKs, and developer tooling to abstract LLM complexity and establish reliable, production-grade primitives.
• You will build and maintain CI/CD-integrated AI systems, including code review automation, test generation pipelines, and agentic systems capable of executing multi-step engineering tasks.
• Additionally, you will drive product development acceleration by integrating AI capabilities directly into existing collaborative workflows like Jira, GitHub, and Slack.
• Design evaluation frameworks and automated testing pipelines to ensure AI system outputs meet quality thresholds.
• Build observability tooling to monitor model behavior, token costs, latency, and production output quality.
• Establish shared prompt libraries, model routing logic, and reusable context management systems.
• Define and enforce engineering standards for AI system development across the division.
• Provide technical guidance and conduct architectural reviews of AI features built by product teams.

Degrees

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