Machine Learning Engineer
Description
Title: Machine Learning Engineer Industry: Technology Location: , Responsibilities Design and ship agentic LLM pipelines, including multi-step reasoning, tool use, reflection loops, long-horizon planning, and memory systems. Build evaluation frameworks to measure agent reliability, performance, and safety across a wide range of tasks. Develop and maintain RAG architectures, vector databases, and external tool integrations. Deploy, optimize, and scale agentic systems in production environments. Translate cutting-edge AI research into practical, production-ready solutions. Requirements 5+ years of experience in Machine Learning or Applied AI with strong hands-on LLM expertise. Strong Python skills and experience with modern ML frameworks such as PyTorch or Hugging Face. Proven experience with agentic frameworks such as LangGraph or AutoGen. Deep understanding of tool-use patterns and workflow orchestration. Experience building RAG systems and working with embedding models. Skills Machine Learning LLM expertise Python PyTorch Hugging Face RAG architectures embedding models vector databases tool-use patterns evaluation frameworks Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius. ref_id: 283dc35d-c4f4-4944-9984-3bce29c7c1a1 Show more Show less