Hiring: Advisory AI Engineer Company: Lenovo Location: Chicago, IL Job Posted Time: 2026-09-12 07:41:00 Employment Type: Hybrid Target Skills & Keywords : Agile, CI/CD, Computer Vision, Docker, Fine-tuning, Git, Hugging Face, Kanban, Kubernetes, LLM, NLP, PyTorch, Python, RAG, Rust, Scrum, vLLM About the job Experience: •6 years of industry experience in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization) Required Skills: •Lenovo is seeking a technical lead who will own the full agentic stack — from LLM orchestration, tool use, memory, and production deployment. •Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory •Build evaluation frameworks to measure agent reliability and safety across different tasks. •Build and maintain RAG systems, vector stores, and external tool integrations •Deploy and scale agent systems in production; translate relevant research into working systems •Be a technical lead, working closely with other AI engineers, ML scientists, and technical product managers to put pipelines in production •Keep abreast of the latest developments in AI ML, applying cutting-edge research and methodologies to your work Qualifications: •Bachelor’s degree in computer science, applied math, physics, or a related field •Fluent in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent) •Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs) •Solid grasp of RAG architecture, embedding models, and LLM evaluation methodology •Strong software engineering fundamentals (python and at least one other programming language). •Rust experience for performance-critical inference or runtime components •Demonstrated capacity to effectively communicate technical solutions to both technical and business audiences, both verbally and in writing Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!