Note: The job is a remote job and is open to candidates in USA. Lenovo is seeking a technical lead who will own the full agentic stack — from LLM orchestration, tool use, memory, and production deployment. The role involves designing and shipping LLM pipelines, building evaluation frameworks, and deploying agent systems in production.
Responsibilities
- 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
Skills
- 6 years of industry experience in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization)
- Bachelor's degree in computer science, applied math, physics, or a related field
- Experience with NLP
- 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)
- Experience with Git, and Continuous Integration/Continuous Deployment (CI/CD)
- Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes
- PhD or Master's preferred
- Experience with computer vision
- Experience with Agile frameworks, such as Scrum and Kanban
- Rust experience for performance-critical inference or runtime components
- Ability to effectively communicate technical solutions to both technical and business audiences, both verbally and in writing
Benefits
- Individuals may also be considered for bonus and/or commission.
- Lenovo’s various benefits can be found here: https://www.lenovobenefits.com/enrolling-in-benefits/why-join-lenovo/
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