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