🚀 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.