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AI Engineer at Mozaiq. Location Information: Fully Remote. . 🚀 . AI Engineer . (LangChain, LangFlow, VectorDB + JavaScript). Hey, we’re . Mozaiq. — a fast-growing, globally distributed team with roots in the US and Europe. We specialize in building world-class, cohesive teams that support some of the most advanced SaaS and marketing organizations in the tech industry.. At Mozaiq, AI isn’t a side experiment — it’s a core part of the systems we design and deliver. We build LLM-driven tools, agent workflows, and vector search integrations that directly support large-scale, revenue-generating operations. Our focus is clear: real-world impact, high-performance infrastructure, and scalable, secure deployment.. . 🌍 . The Opportunity. We’re hiring an experienced . AI Engineer. to join our international team. This role is centered around deploying production-ready GenAI solutions using LangChain, LangFlow, and vector databases such as MongoDB Atlas, Pinecone, or Astra DB.. You’ll be working across infrastructure, orchestration, and frontend integration — building agent frameworks, retrieval systems, and workflow logic that power actual client-facing systems.. . 💡 . Why Mozaiq is Built for AI Engineers. 🧱 . Applied AI, Not Prototypes. – Our clients rely on LLMs and RAG systems to enhance their operations. You won’t be stuck building demo tools — you’ll work on stable, secure, high-traffic implementations.. 🌍 . Global Team, Real Impact. – Work with engineers, strategists, and marketers from around the world who are all focused on solving real business problems with advanced AI infrastructure.. 📈 . Growth Through Ownership. – You’ll have the chance to shape how we build GenAI systems at scale — and bring your ideas directly into production.. . 🔍 . What You’ll Work On. . Designing and deploying modular . pipelines. using . LangChain. (agents, memory, routing, tools). . Implementing . retrieval-augmented generation (RAG). via vector databases such as . MongoDB Atlas. , . Pinecone. , or . Astra DB. . Building workflow orchestration and agent logic with . LangFlow. . Integrating AI services and outputs into web-based tools using . JavaScript. (e.g., React, Node.js). . Collaborating with technical and non-technical teams to deliver working AI features. . Maintaining performance, security, and traceability across all GenAI components. . ✅ . What You’ll Bring. . Hands-on experience working with . LangChain. in production environments. . Practical use of . LangFlow. for managing and visualizing LLM workflows. . Proficiency with . vector search platforms. (MongoDB Atlas Vector Search, Pinecone, Astra DB, or similar). . Strong . JavaScript. background and experience integrating AI features into internal tools or front-end interfaces. . A solid grasp of AI architecture, prompt design, and operational scalability. . Strong communication skills and ability to work async with global teams. . 🧠 . Bonus Points For. . Experience building AI tools in SaaS or marketing operations environments. . Familiarity with embedding optimization, LangGraph, or multi-agent design. . Involvement in integrating GenAI into design systems, dashboards, or internal portals. . 🎁 . What We Offer. . 🌍 Fully remote work. . ⏱ Flexible hours with async collaboration. . 🏝 Paid time off + regional holidays. . 🩺 Health insurance subsidy. . 🤝 A technically strong, focused team building meaningful AI infrastructure at scale. . 🕐 . Working Hours. Mostly flexible, with overlap preferred between . 18:00–20:30 CET. to align with the U.S.-based clients and teams.. . If you’re looking to apply your AI engineering skills to real-world systems — and want to work on solutions that move beyond theory — we’d love to hear from you.. Apply now to help us build the next generation of AI-powered systems at Mozaiq.. .