Associate AI Engineer

General Information
Req #
WD00091861
Career Area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Monday, December 8, 2025
Working Time:
Full-time
Additional Locations:
United States of America - North Carolina - Morrisville
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements

Lenovo is seeking a highly motivated AI Engineer to contribute to the design, development, and exploration of our next-generation AI systems. As an ML & Model Training AI Engineer, you You will design, build, and scale agentic AI systems: multi-step agents, orchestration layers for LLMs and tools, and the surrounding infrastructure that lets foundation models safely interact with real products and users. This is an exciting opportunity to gain hands-on experience with cutting-edge AI systems while collaborating with experienced engineers, researchers, and product teams to help advance Lenovo’s Hybrid AI vision and make Smarter Technology for All.

Key Responsibilities

Build agentic AI workflows
Design and implement multi-step AI agents that can plan, call tools/APIs, reason over intermediate results, and complete complex tasks end-to-end.

Develop orchestration layers
Implement services that route and coordinate calls between foundation models, tools, data sources, and other agents (e.g., planners, executors, evaluators).

Design context and memory management
Help design and implement strategies for managing context and “memory” across interactions (e.g., chunking, retrieval, long-context handling, and stateful workflows), so agents can work over large and evolving information.

Prototype and productionize
Take ideas from notebook-level prototypes to robust, observable, production-ready systems, including APIs, services, and internal tools.

Work with foundation models
Fine-tune, adapt, and post-train large models (e.g., instruction-tuning, RAG, tool-use finetuning, preference optimization) in collaboration with senior ML engineers.

Experiment and evaluate
Design experiments, build evaluation harnesses, and analyze metrics to compare different prompts, policies, and agent strategies.

Engineer for reliability and safety
Contribute to guardrails, monitoring, and fallback strategies so agentic systems behave predictably and safely in real user environments.

Collaborate across disciplines
Work closely with product, research, and platform teams to understand real use cases and ship features that solve concrete user problems.

Continuously learn new tools & frameworks
Ramp quickly on new agent frameworks, libraries, and infrastructure as the ecosystem evolves.

Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field (e.g., EE, Math, Statistics, Physics) with a strong computing/programming focus.

Strong programming experience in Python.

Solid CS fundamentals: data structures, algorithms, complexity, concurrency.

Experience building and debugging non-trivial software systems (class projects, internships, research code, or open-source).

Coursework or project experience in machine learning or deep learning (e.g., supervised learning, optimization, neural networks).

Familiarity with at least one modern ML framework such as PyTorch, TensorFlow, or JAX.

Conceptual understanding of large language models (LLMs) or other foundation models (what they are, common use cases, limitations).

Experience using LLMs via APIs (e.g., OpenAI, Anthropic, etc.) or open-source models for a project, internship, or research.

Demonstrated ability to quickly learn new tools, libraries, and frameworks.

Strong analytical and debugging skills; comfortable working with incomplete or noisy real-world data.

Clear written and verbal communication skills.

Ability to work effectively in a team setting: code reviews, design discussions, and cross-functional collaboration.

This position is NOT ELIGIBLE FOR VISA SPONSORSHIP, including Optional Practical Training (OPT) or Curricular Practical Training (CPT). All applicants must be currently authorized to work in the United States for any employer.

Bonus Points

Projects involving agents, tool use, RAG, or workflow/orchestration frameworks (e.g., LangChain, LlamaIndex, custom planners/executors).

Exposure to context and memory mechanisms: retrieval/vector stores, long-context handling, or session/state management for LLM applications.

Experience with foundation model fine-tuning or parameter-efficient methods (e.g., LoRA), or post-training techniques (e.g., instruction-tuning, preference optimization).

Backend experience: building APIs/services, working with cloud platforms and containerization (e.g., Docker), and basic MLOps (logging, monitoring, experiment tracking).

Notable ML/AI projects, open-source contributions, or research in ML, NLP, RL, or systems for ML.

#LATC

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Additional Locations:
United States of America - North Carolina - Morrisville