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- Tasks: Build and manage AI infrastructure, ensuring reliability and performance in live environments.
- Company: LEC AI, a dynamic division of London Export Corporation, blending startup energy with established expertise.
- Benefits: Competitive salary, growth potential, and hands-on experience in cutting-edge AI technology.
- Other info: Exciting opportunity for career growth in a high-demand field.
- Why this job: Join a pioneering team to shape the future of AI deployment and make a real impact.
- Qualifications: Experience in AI systems, cloud platforms, and Python programming required.
The predicted salary is between 40000 - 60000 £ per year.
LEC AI is the intelligence systems division inside London Export Corporation, a London-headquartered group operating across AI, forecasting, robotics, logistics, commerce, and operational software.
We are scaling from founding team to production AI systems deployed across multiple businesses. We operate with the speed and ownership of an early-stage startup, backed by an established UK trading group with a 70-year operating history. Startup energy without the funding-cycle risk.
We build production AI systems that operate inside real businesses, not demos or isolated copilots. Our systems already run in live environments and are expanding into organisational intelligence, structured-data prediction, multi-agent infrastructure, and SaaS products deployed across multiple businesses.
This role focuses on the deployment, reliability, scaling, and operational infrastructure underneath those systems.
We are hiring an AI Deployment & Platform Engineer to build and operate the infrastructure layer powering our AI systems in production. You will work directly with the AI systems engineering team to deploy AI systems into live environments, manage runtime infrastructure, scale orchestration systems, optimise inference performance, and build the deployment pipelines and observability that keep everything running. This is a deeply hands-on engineering role for someone who enjoys building production infrastructure, solving operational problems, and making AI systems reliable at scale.
Deployment Infrastructure
- Deploy and manage AI systems primarily across AWS and Azure, with Alibaba Cloud for China-based deployments and GCP as workloads require
- Containerise and orchestrate AI workloads at scale
- Build CI/CD pipelines for AI systems and model deployments
- Manage inference infrastructure and deployment automation
- Monitor system performance, latency, throughput, and uptime
- Monitor model drift, data drift, and runtime quality degradation
- Implement rollback, failover, and deployment safety systems
- You will support deployment and operations for organisational intelligence platforms, large-scale prediction systems, multi-agent workflows, multimodal AI systems, and future AI-native SaaS products.
You understand that AI systems are operational systems, and that reliability, latency, observability, and cost control matter as much as model quality.
Python is expected.
- Major cloud platforms (AWS, Azure)
- Caching layers and in-memory data stores
- Relational and vector databases
- Monitoring and observability stacks
Built and operated AI systems in production.
- Built deployment automation pipelines
- Mandarin is a bonus given our UK and China operations
This is a founding-stage infrastructure hire inside a high-growth AI division. You will work on multi-agent systems, orchestration runtimes, large-scale prediction systems, and real-time AI deployment. We are building infrastructure designed to compound over time: memory, operational intelligence, orchestration, and reusable AI platforms. Full-time, 5 days on-site.
Salary: £40,000 to £60,000 GBP, depending on experience, with significant upside as LEC AI scales.
Apply on LinkedIn and email your portfolio to talent@lecai.ai with the subject line: AI Deployment & Platform Engineer.
AI Deployment & Platform Engineer in London employer: LEC AI
Contact Detail:
LEC AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Deployment & Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who work at LEC AI or similar companies. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a mini-project or demo that showcases your expertise in deploying AI systems. Share it on platforms like GitHub and link it in your application to stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of AWS, Azure, and container orchestration. Be ready to discuss how you've tackled real-world challenges in deploying AI systems.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Deployment & Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Deployment & Platform Engineer role. Highlight your experience with cloud platforms like AWS and Azure, and any hands-on work you've done with AI systems in production. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include a portfolio of your projects that demonstrate your ability to build and operate AI systems. Whether it's deployment automation pipelines or orchestration runtimes, we love seeing real examples of your work. Don't forget to mention any relevant technologies you used!
Be Clear and Concise: When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so get to the point while still showcasing your passion for the role!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Make sure to follow the instructions in the job description, including emailing your portfolio to talent@lecai.ai. We can't wait to see what you've got!
How to prepare for a job interview at LEC AI
✨Know Your Tech Stack
Make sure you’re well-versed in the major cloud platforms like AWS and Azure, as well as containerisation and orchestration tools. Brush up on your Python skills too, since it’s a key requirement for this role.
✨Showcase Your Experience
Prepare to discuss specific projects where you've built and operated AI systems in production. Highlight your experience with CI/CD pipelines and deployment automation, as these are crucial for the role.
✨Understand Operational Challenges
Be ready to talk about how you’ve tackled operational problems in the past. Discuss your approach to monitoring system performance, managing latency, and ensuring reliability in AI deployments.
✨Ask Insightful Questions
Prepare thoughtful questions about LEC AI's current projects and future goals. This shows your genuine interest in the company and helps you understand how you can contribute to their mission.