AI Platform Engineer – Developer & Product Enablement at Ziff Davis
$185,000–$200,000from the description
Jun 30, 2026
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Jul 21, 2026
What this job asks for AI summary
A platform engineering role focused on building the internal AI infrastructure that other engineering and product teams depend on — including LLM-abstraction APIs, SDKs, CI/CD-integrated code review and test generation pipelines, and agentic systems. The work also involves observability tooling, prompt libraries, model routing, and setting division-wide standards for AI development. Suited to engineers with a strong backend and distributed systems background who have hands-on experience shipping production AI/ML systems.
Senior level · 5+ years · Remote · Full-time
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 15,000 people nationally plausibly meet what this posting asks for (software developers). range 9,000–22,500
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
The role requires 5+ years in software engineering/platform/infrastructure overall, with at least 2 years specifically building production AI/ML systems — the 5-year figure is used as the overall years minimum per instructions.
The JD requires proficiency in 'Python and at least one compiled language'; the compiled language is left unspecified, so only Python is captured as a named skill.
Jira, GitHub, and Slack appear in the responsibilities section as integration targets ('integrating AI capabilities directly into existing collaborative workflows like Jira, GitHub, and Slack') rather than a formal requirements block; they are marked required because the JD frames building integrations into them as a core duty.
Agentic frameworks, RAG, vector databases, and Terraform are explicitly listed under 'Preferred' and are marked accordingly.
No degree requirement is stated anywhere in the posting.
The title 'AI Platform Engineer' carries no seniority modifier; the title states no level. The actual scope and experience bar (5+ yrs, production AI systems, architectural reviews, division-wide standards) supports a Senior classification.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): API design.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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