At a Glance
- Tasks: Design and build cutting-edge AI systems that shape the future of technology.
- Company: Join Lenovo's global AI Technology Center, a leader in AI innovation.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent mentorship and career advancement opportunities.
- Why this job: Be at the forefront of AI transformation and make a real impact on global technology.
- Qualifications: 8+ years in software engineering with a focus on ML/AI systems.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
The Lenovo AI Technology Center (LATC)—Lenovo’s global AI Center of Excellence—is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. We are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration & collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you’re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there’s no better time to join us.
Responsibilities
- Architect agent systems: Design and own the architecture of production agent systems, including the Agent SDK (LangGraph/Pydantic Graphs), defining patterns and abstractions that the team builds upon.
- Lead orchestration & routing strategy: Define the technical vision for orchestration services, model routing (edge-cloud), and multi-agent coordination patterns. Make key architectural decisions on latency/cost/capability trade-offs.
- Drive cross-team integration: Partner with BU product teams (Qira, Tianxi, UDS IQ) to translate requirements into technical specifications. Coordinate with Infrastructure and Data teams on dependencies.
- Establish reliability & safety standards: Define and enforce guardrail policies, fallback chains, and safety constraints across agent systems. Own incident response and post-mortem processes.
- Build observability infrastructure: Design tracing, logging, and monitoring systems that enable the team to understand agent behavior at scale. Create dashboards and alerting for production systems.
- Mentor and grow the team: Lead technical decisions for the squad, mentor junior engineers, conduct code reviews, and establish engineering best practices and coding standards.
- Shape technical roadmap: Contribute to quarterly planning, identify technical risks, and drive initiatives that improve team velocity and system reliability.
Core Skills
- Expert-level Python programming (async patterns, performance optimization, library design) and experience designing APIs and SDKs.
- Deep knowledge of agentic frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) including internals, not just usage.
- Proven track record shipping production agent systems serving real users at scale.
- Strong system design skills: distributed systems, state management, message queues, service mesh patterns.
- Experience with model routing strategies, embedding-based similarity matching, and edge-cloud orchestration.
- Ability to break down ambiguous problems, make architectural decisions independently, and communicate trade-offs clearly.
Bonus Skills
- Experience with MCP (Model Context Protocol) or similar agent communication protocols.
- Background in edge/on-device deployment (mobile, IoT, embedded systems) with latency and memory constraints.
- Contributions to open-source agent frameworks (LangChain, LlamaIndex, etc.).
- Experience building and operating ML platforms or MLOps infrastructure.
- Background in Go, Rust, or other systems languages for performance-critical components.
- Published blog posts, talks, or papers on agent systems or LLM engineering.
Qualifications
- 8+ years in software engineering, with at least 2 years focused on ML/AI systems or LLM-based applications (6+ years in software engineering with MS Degree).
- BS/MS in Computer Science or related field; equivalent practical experience considered.
- Track record of technical leadership: owning systems end-to-end, making architectural decisions, mentoring engineers.
- Experience with production incidents, on-call responsibilities, and post-mortem processes.
- Demonstrated ability to influence technical direction beyond immediate team.
Engineer, Agentic AI in London employer: Lenovo
At Lenovo, we pride ourselves on being an exceptional employer, particularly within our AI Technology Center where innovation thrives. Our collaborative work culture fosters creativity and growth, offering employees the chance to lead cutting-edge projects in a rapidly evolving field. With a commitment to mentorship and professional development, we empower our engineers to shape the future of AI while enjoying the benefits of working in a dynamic global environment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer, Agentic AI in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or conferences where you can chat with industry experts and potential colleagues. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to agent systems or AI technologies. This gives you a chance to demonstrate your expertise and passion, making you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts clearly and concisely, as communication is key in tech roles. We want to see how you think and approach challenges!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. It’s a great opportunity to reiterate your interest and remind them why you’re the perfect fit for the team.
We think you need these skills to ace Engineer, Agentic AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Engineer, Agentic AI. Highlight your experience with Python programming and any relevant projects you've worked on that showcase your skills in agentic frameworks and system design.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with Lenovo's mission. Don’t forget to mention specific experiences that demonstrate your technical leadership and problem-solving abilities.
Showcase Your Projects:If you’ve contributed to open-source projects or have personal projects related to agent systems, make sure to include them. This not only shows your technical skills but also your commitment to the field and your ability to work collaboratively.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to the right team. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Lenovo
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core skills listed in the job description, especially expert-level Python programming and agentic frameworks. Brush up on your knowledge of distributed systems and service mesh patterns, as these will likely come up during technical discussions.
✨Prepare for System Design Questions
Expect to tackle system design scenarios that test your ability to architect agent systems. Practice breaking down complex problems and articulating your architectural decisions, including trade-offs related to latency, cost, and capability.
✨Showcase Your Leadership Skills
Since the role involves mentoring and leading a team, be ready to discuss your past experiences in technical leadership. Share specific examples of how you've influenced technical direction and mentored junior engineers, as this will demonstrate your fit for the role.
✨Engage with the Interviewers
Don’t just answer questions—engage in a dialogue. Ask insightful questions about the team’s current projects, challenges they face, and their vision for AI at Lenovo. This shows your genuine interest and helps you assess if the company aligns with your career goals.
