Mozaiq

• Lead the development efforts, taking ownership of the entire product lifecycle from ideation to implementation. • Collaborate with cross-functional teams, including product managers and engineers, to deliver high-quality products. • Apply expertise in technologies to drive the adoption of new architectures and design patterns for our products. • Mentor and guide junior developers, fostering a culture of continuous learning and improvement within the team. • Actively contribute to the evolution of our technical stack, ensuring it aligns with industry standards and supports scalability and maintainability. • Work closely with cross-functional teams to ensure backend systems effectively support product requirements.

• Lead the development efforts, taking ownership of the entire product lifecycle from ideation to implementation. • Collaborate with cross-functional teams, including product managers, designers, and engineers, to deliver high-quality and user-friendly products. • Apply expertise in technologies to drive the adoption of new architectures and design patterns for our products. • Mentor and guide junior developers, fostering a culture of continuous learning and improvement within the team. • Actively contribute to the evolution of our technical stack, ensuring it aligns with industry standards and supports the scalability and maintainability of our products. • Work closely with UX/UI designers to translate design concepts into responsive and intuitive user interfaces.

• Build automation pipelines that process and structure large sets of content. • Integrate LLM APIs into content workflows and automation systems. • Design systems for chunking, embeddings, and AI-driven content analysis. • Develop tools that help scale and optimize AI-ready and GEO-focused content infrastructure. • Build monitoring and logging systems for automation workflows. • Collaborate with SEO and data teams to improve AI discoverability and citation visibility.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re seeking an AI Engineer to build automation systems that help structure, process, and optimize content for AI-driven discovery. This role focuses on applying AI technologies—particularly large language models—to content infrastructure. You will build workflows that ingest, transform, and structure content so it can be efficiently understood by search engines and AI assistants. Working closely with engineering, SEO, and marketing teams, you will help design scalable systems that combine AI automation with structured content workflows. - Build automation pipelines that process and structure large sets of content. - Integrate LLM APIs into content workflows and automation systems. - Design systems for chunking, embeddings, and AI-driven content analysis. - Develop tools that help scale and optimize AI-ready content infrastructure. - Build monitoring and logging systems for automation workflows. - Collaborate with SEO and data teams to improve AI discoverability. Qualifications - 3+ years experience in software engineering, automation, or applied AI systems. - Strong scripting ability (Python or JavaScript). - Experience integrating APIs and building automation workflows. - Experience working with structured data and content processing. - Ability to design scalable automation systems. Requirements - Experience working with LLM APIs (OpenAI, Anthropic, etc.) - Experience with embeddings or vector databases. - Experience working with SEO or content infrastructure. Benefits - 🌍 Work from anywhere - ⏳ Flexible hours - 🏝 Paid time off + holidays - 🛫 Team offsites - 🩺 Subsidised Health insurance Company Description 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. - 🌐 Global Family: A tight-knit, multicultural, remote-first team - 💼 Meaningful Work: Support world-class brands and products - 🤝 Inclusive Culture: We prioritize collaboration, clarity, and growth

• Design and maintain pipelines that process and manage large collections of content. • Build systems that support programmatic page generation and structured content. • Implement structured data and schema strategies. • Develop workflows for ingesting, parsing, enriching, and scoring content assets. • Build automation tools that help identify SEO opportunities at scale. • Monitor indexing coverage, search visibility, and AI citation performance.

• Measure, analyze, and improve how content performs across search engines and AI-driven platforms. • Analyze large datasets related to search visibility, AI citations, and content performance. • Collaborate with engineering, SEO, and marketing teams to turn insights into scalable improvements. • Analyze search performance, AI citations, and content discoverability trends. • Identify patterns in how LLMs and search engines reference content. • Build dashboards and reporting frameworks for content performance. • Run experiments to evaluate content structure, schema, and metadata impact. • Identify content gaps, duplication, and consolidation opportunities. • Provide data-driven recommendations to SEO, engineering, and marketing teams.

• 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. • 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. • 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. • 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.

• Own campaign execution from kickoff through launch: build the plan and drive delivery across multiple concurrent assets and deadlines. • Lead campaign planning syncs: confirm dependencies, validate timing, and pressure-test feasibility before timelines are finalized. • Build and maintain Asana campaign boards and templates: tasks, owners, dependencies, milestones, automations, and QA (no past-dated tasks, no missing owners, no broken dependencies). • Run the day-to-day operating rhythm: status checks, follow-ups, risk tracking, and decision capture, keeping momentum without micromanaging. • Coordinate reviews and revisions (expert review, copy edit, approvals), ensuring feedback is captured, implemented, and tracked through final sign-off. • Partner tightly with Creative: ensure design handoffs are complete (inputs, copy, promo concepts), track design delivery, and confirm assets meet brand and web requirements. • Coordinate handoffs to Marketing Ops/Web (MOPS): ensure they receive what they need when they need it, and track the work through publish readiness. • Maintain stakeholder visibility: provide a simplified campaign status view (e.g., spreadsheet or dashboard) that translates Asana complexity into clear, plain-language status. • Continuously improve processes: identify friction points (permissions, storage, reporting, templates), propose fixes, and implement agreed changes. • Apply documented workflows across asset types (anchor, supporting, video, interactive) without reminders.