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
AI Engineer
Location
United States + 10 moreAll locations: United States, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of
Posted
4 days ago
Salary
Not specified
Job Description
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
Job Requirements
- 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.
- 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
Related Guides
Related Job Pages
More AI Engineer Jobs
The engineer will collaborate across the stack to influence foundational technology design, ensuring it meets the needs of next-generation AI models. Key tasks include identifying and resolving performance bottlenecks in distributed workloads through deep-dive analysis of the software-hardware interface and conducting rigorous performance benchmarking.
The Lead Engineer will own the technical architecture, design, and implementation for new AI-driven insurance products, translating open-ended opportunities into defined system designs and production-grade solutions. This involves rapid build-test-learn cycles, developing features using modern AI frameworks, and establishing best practices for engineering excellence.
Applied AI Engineer leading customer engagements for enterprise AI at Pure
This role involves leading engineering teams to deliver AI-powered product and platform capabilities aimed at reducing administrative toil, improving responsiveness, and surfacing better insights for early education operators. The director will build systems and AI-native ways of working to transform the platform from a system of record into a system of action, accelerating value delivery to customers.