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- Tasks: Design and implement a cutting-edge AI agent platform for real-world applications.
- Company: LEC Robotics, a leader in commercial robotics and applied AI.
- Benefits: Competitive salary of £90,000 and a dynamic work environment.
- Why this job: Join us to shape the future of AI in practical, impactful ways.
- Qualifications: Senior experience in building AI systems and multi-agent architectures required.
- Other info: Exciting opportunity for career growth in a fast-evolving tech landscape.
The predicted salary is between 72000 - 108000 £ per year.
LEC Robotics designs and deploys commercial robotics systems built for real-world environments. Our focus is on robotics that are reliable, repeatable, and ready for everyday use — systems that integrate into live operations and deliver consistent value at scale. We work at the intersection of robotics, automation, and applied AI, with an emphasis on practical deployment rather than experimentation. Our products are designed to operate in demanding commercial settings, where uptime, usability, and operational fit matter more than novelty.
Location: London (Knightsbridge office-based)
Engagement: Full-time contract
Compensation: £90,000
About the role
LEC Robotics is building a persistent, internal AI agent platform that operates continuously, captures company knowledge, maintains long-term memory, and supports multiple domain-specific AI agents used daily by non-technical staff. This is a systems architecture and delivery role, not a prompt-engineering role and not a marketing automation role. You will design and implement a real, always-on internal AI system that integrates:
- A hardened agent runtime
- Proper memory architecture
- Multiple specialised agents
- Tooling and integrations
- Governance, permissions, and auditability
The platform must be usable through Microsoft Teams and Notion, and must be designed to evolve — including the ability to later export memory and behaviour data for research and model development without rebuilding the system.
Required experience
You must demonstrate senior, hands-on experience building real AI systems, including:
- Agent frameworks or multi-agent architectures in production environments
- Long-term memory design and retrieval systems
- LLM integration via API
- Integration with collaboration and knowledge tools
- Permissions, safety, and auditability
- Delivering working systems, not demos
Not suitable for candidates with experience limited to:
- Prompt engineering only
- No-code AI automations
- Basic chatbots without persistent memory
- Marketing automation without system architecture
Application instructions
Apply by email to talent@lecrobotics.ai with:
- CV
- Written explanation (max 500 words) answering: What AI agent or internal AI system have you built that was used in real work? How did you implement long-term memory and retrieval? How did you handle permissions and safety? What would you build in the first 30 days at LEC Robotics?
Applications without the written explanation will not be considered.
Senior AI Agent Systems Architect/Engineer in London employer: LEC Robotics
Contact Detail:
LEC Robotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Agent Systems Architect/Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve built any AI systems, create a portfolio or a case study to share during interviews. It’s all about demonstrating what you can do, not just what you’ve done.
✨Tip Number 3
Prepare for the interview by diving deep into LEC Robotics’ projects. Understand their products and think about how your experience aligns with their needs. This shows you’re genuinely interested and ready to contribute.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on joining the team at LEC Robotics.
We think you need these skills to ace Senior AI Agent Systems Architect/Engineer in London
Some tips for your application 🫡
Craft a Compelling CV: Your CV is your first impression, so make it count! Highlight your hands-on experience with AI systems and ensure it aligns with the job description. We want to see your achievements and how you've tackled real-world challenges in robotics and AI.
Nail the Written Explanation: This is your chance to shine! In your 500-word explanation, be specific about the AI agent or system you've built. We’re looking for details on long-term memory implementation and how you managed permissions and safety. Keep it clear and concise!
Show Your Passion for Practical Solutions: LEC Robotics values practical deployment over experimentation. Make sure your application reflects your understanding of this focus. Share examples of how your work has delivered consistent value in demanding environments — we love seeing that real-world impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets the attention it deserves. Don’t forget to double-check everything before hitting send — we can’t wait to hear from you!
How to prepare for a job interview at LEC Robotics
✨Know Your Stuff
Make sure you brush up on your experience with AI systems, especially in building real-world applications. Be ready to discuss specific projects where you've implemented long-term memory and multi-agent architectures. This is your chance to showcase your hands-on expertise!
✨Understand the Company’s Focus
LEC Robotics is all about practical deployment, so do your homework on their products and how they integrate into commercial settings. Familiarise yourself with their emphasis on reliability and usability, and think about how your skills can contribute to these goals.
✨Prepare for Technical Questions
Expect in-depth technical questions about agent frameworks, memory architecture, and API integrations. Prepare examples from your past work that demonstrate your problem-solving skills and ability to deliver working systems rather than just demos.
✨Craft a Strong Written Explanation
Don’t forget the written explanation they require! Clearly articulate your previous experiences with AI systems, focusing on long-term memory and safety measures. This is your opportunity to stand out, so make it concise yet impactful!
