AI Platform Engineer – Developer & Product Enablement
About The Position
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.
Requirements
- Deep software engineering fundamentals paired with a clear, collaborative approach to raising the technical bar across engineering cohorts.
- 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.
Nice To Haves
- Familiarity with agentic frameworks, RAG architectures, vector databases, or infrastructure-as-code (Terraform).
Responsibilities
- Own the lifecycle of internal AI APIs, SDKs, and developer tooling to abstract LLM complexity and establish reliable, production-grade primitives.
- 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.
- 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.
Benefits
- Competitive salaries
- Robust, health and wellness-focused benefits, including comprehensive medical, dental, and vision coverage
- Life and disability benefits
- Flexible Spending Accounts (FSAs)
- 401(k) with company match
- Employee Stock Purchase Plan
- Flexible Time Off
- Volunteer Time Off
- Paid holidays
- Family building and caregiving support
- Generous Family Care and Parental leave
- Fitness Reimbursement
- Access to wellness programs
- Employee Resource Groups
- Company-sponsored events
- Professional growth opportunities through educational support, mentorship programs, and career development resources
- Employee engagement programs and recognition awards
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
