Machine Learning Engineer

WorkGenius Group is focused on developing a next-generation hybrid AI platform that enhances Personal AI experiences across various devices. They are seeking a Machine Learning Engineer to take ownership of the entire agentic AI stack, focusing on LLM orchestration, tool use, and deployment in production environments.

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, including prompting, fine-tuning, and inference optimization on devices
• Strong Python skills and experience with modern ML frameworks such as PyTorch, Hugging Face, vLLM, or equivalent
• Proven experience with agentic frameworks such as LangGraph, AutoGen, CrewAI, or custom-built agent architectures
• Deep understanding of tool-use patterns, including function calling, MCP, structured outputs, and workflow orchestration
• Experience building RAG systems, working with embedding models, vector stores, and LLM evaluation methodologies
• Solid software engineering fundamentals in Python and at least one additional programming language