At a Glance
- Tasks: Design, build, and deploy AI systems that scale globally for millions of members.
- Company: Join Ten, a leading tech-driven service business on a mission to redefine excellence.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and hands-on development.
- Why this job: Be part of an innovative team shaping the future of AI in lifestyle services.
- Qualifications: Proficiency in programming languages and experience with Gen AI tools required.
The predicted salary is between 36000 - 60000 £ per year.
Driving Innovation and Trust: Ten's Journey to Redefine Service Excellence. Ten is on a mission to become the most trusted service business in the world. Technology-driven Product is at the centre of our strategy to create a hugely successful service and business. Millions of members already have access to Ten's services across lifestyle, travel, dining and entertainment on behalf of over fifty clients including HSBC, Swisscard and Royal Bank of Canada. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees. We have the advantages of already being at scale globally with a critical mass of high net worth members via stable, multi-year revenue-generating contracts. We already have a market leading consumer proposition and credibility with the leading suppliers/partners across our ‘big 4' service categories of restaurants/travel/entertainment and luxury retail. We are profitable and the first B Corp listed on the London Stock Exchange (AIM market). Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives. The next few years will see Ten, led by our 7 person ExCo, speed up our progress via our Growth Engine strategy, making the next huge steps to achieve our ambitions together.
Join Our Team as an AI Engineer! Ten is currently building a team of AI engineers in London, and as part of those efforts, we are currently looking for an AI Engineer who will play a critical role in designing, building, deploying, and monitoring AI systems that scale across the business and to our millions of members globally. Your role will involve working in a cross-functional team, collaborating with product, data and platform teams to produce high quality working software released to a frequent cadence. The team adopts a ‘you build it, you run it' and DevOps mindset and likes to be hands-on in all aspects of development. You will be responsible for ensuring the software meets quality through rigorous automated testing and metrics. You will also be responsible for assessing and choosing the right solution for the task at hand whilst considering cost implications and timelines. If you have a curiosity and passion for AI, whilst a firm grounding in software engineering principles enabling you to build industry leading products, we would love to hear from you!
Requirements:
- Proficiency in at least one programming language (e.g. Python, C#, JavaScript, Kotlin, Java, Go).
- Experience with Gen AI tools (e.g. LangGraph, CrewAI, Hugging Face, OpenAI APIs).
- Experience in building and optimising systems for performance, scalability, and reliability.
- Understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt engineering, latency, cost optimisation, hallucinations, evaluation).
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
- Hands-on with DevOps/Infra tooling (CI/CD, Docker, K8s) and observability (Prometheus, Grafana, Datadog).
- Experience building distributed systems.
- Knowledge and hands-on experience with multiple datastores (both SQL and NoSQL).
- Desired experience in building agents and workflows (e.g. autonomous systems or multi-agent architectures).
- A passion for AI Engineering.
- Fluent in English (C2 proficiency).
We are seeking exceptional candidates based in London who are able to commute to the office 2/3 days a week.
Guidelines for Hybrid/Home Office:
- Located in London.
- Please note that if you live within a commutable distance of the office you will be asked to enter into a hybrid working arrangement - at least 2x a week in the office.
- A secure home office at your confirmed address, free from background noise or other distractions.
- You must meet our minimum internet speeds if you want to work remotely/in our hybrid model and this will be checked during the recruitment process and again when you join.
- We also have a great office that you can work from as an alternative.
Benefits:
AI Engineer employer: Ten Lifestyle Group
At Ten Lifestyle Group, we pride ourselves on being an exceptional employer that values flexibility and inclusivity. Our vibrant workplace culture encourages personal growth and development, offering unique opportunities to build meaningful relationships while delivering outstanding service in the luxury lifestyle sector. With hybrid working options and a focus on employee well-being, we ensure that our team members thrive both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Ten or connect with fellow AI enthusiasts on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Gen AI tools. This will not only highlight your expertise but also demonstrate your passion for AI Engineering.
✨Tip Number 3
Prepare for the interview by brushing up on DevOps practices and cloud platforms. Be ready to discuss how you've tackled challenges in previous projects, especially around scalability and performance.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Ten team and being part of our exciting journey.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with programming languages and Gen AI tools, as well as any relevant projects that showcase your skills in building scalable systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how it aligns with our mission at Ten. Be specific about why you want to join us and how you can contribute to our growth.
Showcase Your Projects:If you've worked on any interesting AI projects, make sure to mention them! Include links to your GitHub or portfolio where we can see your work in action. We love seeing hands-on experience!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Ten Lifestyle Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and AI tools mentioned in the job description. Brush up on Python, C#, or any other language you’re comfortable with, and be ready to discuss your experience with Gen AI tools like Hugging Face or OpenAI APIs.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled challenges related to performance, scalability, or reliability in your previous projects. Highlight your hands-on experience with DevOps practices and how you’ve implemented CI/CD pipelines or used Docker and Kubernetes.
✨Understand the Business Context
Familiarise yourself with Ten’s mission and how AI plays a role in their service excellence. Be ready to explain how your skills can contribute to their growth strategy and enhance the member experience across their various services.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current AI projects, team dynamics, or how they measure success in their AI initiatives. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
