Mozaiq is a fully remote team with roots in the US and Eastern Europe. We build powerful, cross-functional teams that support some of the most sophisticated tech and marketing organizations in the world. We are a tight-knit, multicultural, remote-first family that prioritizes collaboration, clarity, and growth.

We're seeking a Content Engineer to own the technical foundation that makes our content findable, structured, and citable across AI-driven platforms. This role bridges marketing and engineering, ensuring that our content infrastructure is scalable, reliable, and optimized for AI-driven discovery (e.g., ChatGPT, Perplexity, Google AI Overviews). You will maintain and enhance the systems that distribute and structure our content for LLM platforms, directly influencing visibility and authority in the next generation of search.

• Location: Fully Remote
• Employment Type: Full-time
• Remote Status: Fully Remote
• Date Published: 2026-03-04

• AI Content Infrastructure: Maintain and optimize our AI content infrastructure, including JSONL feeds, chunking strategy, vector databases, and public APIs. Design scalable workflows to analyze and process large sets of URLs efficiently (batch and incremental approaches). Balance cost, performance, and quality when working with LLM and API-based systems. Ensure systems are reliable, versioned, and reproducible.
• Content & Semantic Optimization: Partner with the AEO Content Lead to audit and refine content quality for LLM extraction. Maintain and evolve our entity taxonomy and structured data strategy. Design extractable content formats across different asset types. Support analysis of content overlap and consolidation opportunities using structured methods.
• Workflow Management & Governance: Contribute to the design and orchestration of multi-step content workflows (e.g., ingestion, parsing, extraction, scoring). Implement safeguards to prevent duplicate processing and ensure consistent outputs. Maintain documentation, logs, and auditability of scoring logic and entity definitions.
• Performance & Measurement: Monitor feed freshness, embedding quality, API availability, and system performance. Track LLM citation behavior and surface content gaps or optimization opportunities. Support structured experimentation to understand performance changes over time. Collaborate with SEO, analytics, and product marketing to align reporting and insights.

• 3+ years in a technical role bridging content and engineering (e.g., SEO Engineer, Growth Engineer, Content Systems Engineer).
• Proficiency with APIs and data formats (JSONL, REST, webhooks).
• Experience with vector databases and embeddings (e.g., Pinecone, Weaviate, Chroma).
• Scripting ability in Python or JavaScript.
• Solid understanding of schema.org and structured data principles.
• Experience working with data analysis tools (SQL, GA4, Looker, or similar).
• Familiarity with workflow orchestration tools or equivalent programmatic workflow design.
• (Nice-to-have) Experience with LLM APIs (OpenAI, Anthropic, Perplexity).
• (Nice-to-have) Familiarity with healthcare compliance (HIPAA).

What Success Looks Like

• Content systems are consistently operational and reliable across target AI platforms.
• Structured workflows are in place for processing, monitoring, and optimizing content feeds.
• Clear visibility into citation performance and content gaps.
• Scalable processes that support long-term AI-first content strategy.

Other Information

• Perks & Benefits:
  • Work from anywhere
  • Flexible hours
  • Paid time off + holidays
  • Team offsites
  • Subsidised Health insurance

How to Apply
Interested candidates should apply directly through the Mozaiq careers portal at https://careers.mozaiq.com/jobs/564458-content-engineer.

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