AI Engineer

📋 Description

• Architect and ship end-to-end agentic and LLM-powered tools for business-facing use cases, deciding
• Design AI-agnostic, model-flexible services that allow the team to evaluate and swap the
• Build production tools that transform raw content into structured, ready-to-use output—for example
• Develop and maintain RAG pipelines and vector database integrations to support retrieval-driven
• Establish and scale prompt evaluation, testing, and regression-control frameworks (e.g., via
• Take AI features from prototype/PoC through to deployed, end-user-facing production tools, working

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM
• 4+ years of industry experience in machine learning engineering, AI engineering, or a related
• Strong programming skills in Python and/or TypeScript/Node.js, with the ability to build both AI
• Hands-on experience deploying LLMs in production, building automated evaluation pipelines (e.g.
• Practical experience with LangChain and its ecosystem (e.g., LangGraph, LangSmith) or comparable
• Experience with RAG architectures and vector databases in production settings.

🎁 Benefits

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards