Description
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. In this role, you will architect the AI-powered infrastructure layer that development and product teams rely on-ranging from internal developer tooling and code generation pipelines to AI-assisted product lifecycle systems. This position supports the Tech & Shopping (T&S) division of Ziff Davis (NASDAQ: ZD), which operates digital media and software brands including CNET, RetailMeNot, Mashable, PCMag, Lifehacker, and Spiceworks. This is your chance to lead high-impact projects! Do you want to see the direct impact of your performance and thrive both personally and professionally? This role operates on a remote work arrangement with no regular travel requirements.
Key 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.
Job 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).
Compensation Range
Ziff Davis provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $185,000 to $200,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.
