Staff Engineer, Agentic AI

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$83 billion revenue global technology powerhouse, ranked #153 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 Agentic Systems & Orchestration AI Engineer to contribute to the design, development, and exploration of our next-generation AI systems. You will design and implement agentic AI systems: multi-step agents, planners, tool-using models, and orchestration layers that coordinate models, tools, and data. Your work turns LLMs from “text in/text out” engines into systems that can act, reason, and interact reliably. 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.  #LATC

Responsibilities

• Design and implement agents 
  Build agents that can plan tasks, call tools/APIs, decompose problems, and iterate based on feedback and intermediate results. 

• Orchestration & routing 
  Develop orchestration services that coordinate multiple models, agents, and tools (e.g., planners, executors, critics, evaluators), including policy logic and routing decisions. 

• Tooling & integration 
  Integrate agents with internal and external tools: APIs, databases, retrieval systems, transactional systems, and product features. Handle auth, error cases, and safety constraints. 

• Context & state handling for agents 
  Work closely with context management to maintain agent state across steps and sessions, including working memory, scratchpads, and long-running workflows. 

• Reliability, safety & guardrails 
  Implement checks, constraints, and fallback policies so agents behave predictably and safely, especially when they can take real-world actions. 

• Observability & debugging 
  Build tracing, logging, dashboards, and replay tools to understand agent behavior, diagnose failures, and iterate on policies and prompts. 

• Experimentation & iteration 
  Design experiments to compare agent architectures, policies, and tool sets; iterate based on offline and online metrics and qualitative user feedback. 

Qualifications

• 5+ years in software engineering, ML engineering, or applied AI roles, including experience shipping systems that rely on LLMs or other ML components. 

• Strong programming skills in Python and experience building backend services (REST/gRPC, microservices, or similar). 

• Solid understanding of system design basics: latency, throughput, reliability, and failure modes. 

• Hands-on experience working with LLM-based applications (e.g., chatbots, copilots, automation tools, or internal agent-like systems). 

• Familiarity with at least one agentic or orchestration framework (e.g., LangChain, Autogen, CrewAI, custom in-house frameworks), or evidence of having built similar functionality yourself. 

• Ability to reason about complex multi-step flows, failure modes, and edge cases. 

• Comfortable diagnosing issues that span prompts, tools, infra, and product logic. 

Bonus Points

• Experience designing multi-agent or multi-stage workflows (e.g., planner/solver/critic architectures). 

• Background integrating LLMs with transactional systems, internal tools, or external APIs. 

• Exposure to safety/guardrail systems: policy engines, content filters, or constrained tool execution. 

• Familiarity with cloud platforms, containers (Docker), and observability tools (metrics, tracing, logging). 

What we can offer you:

• Holiday purchase  
• Private medical  
• Income protection 
• Hybrid working model (3:2)
• Attractive pension scheme  
• Positive work life balance 
• Learning and development 
• Life insurance 
• Lenovo and Motorola products discounts  
• Lifestyle discounts  
• Cycle to work  
• MyGymDiscounts 
• Mortgage advice and support  
• Referral bonus 
• Free onsite parking 

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.

AI PROCESSING NOTICE

We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.