At a Glance
- Tasks: Build and deploy innovative AI solutions for enterprise clients using cutting-edge technologies.
- Company: Fast-growing AI product company with a focus on LLM-powered solutions.
- Benefits: Competitive daily rate, hybrid work model, and opportunity to work on impactful projects.
- Other info: Exciting contract role with potential for growth in a vibrant tech environment.
- Why this job: Join a dynamic team and make a real difference in the AI landscape.
- Qualifications: Strong Python skills and experience with AI/LLM systems required.
Contract Forward Deployed AI Engineer Outside IR35 | 6 months | Hybrid London | £600–£750/day
SR2 are partnering with a fast-growing AI product company deploying LLM-powered solutions into enterprise customers. They are looking for a hands-on Forward Deployed AI Engineer to work closely with clients, understand business problems, and turn requirements into practical AI solutions.
- Building, prototyping and deploying AI/LLM products
- Using Python, LLMs, RAG, embeddings and vector databases
- Strong Python engineering experience
- Production experience with AI/LLM systems
- Hands-on RAG, prompt engineering, embeddings or vector database experience
Pay range and compensation package:
- Contract: Initial 6 months
- Location: Hybrid London
AI Engineer in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a dynamic and innovative AI product company that values creativity and collaboration, offering a hybrid work environment in the vibrant city of London. With a strong focus on employee growth, you will have the opportunity to work on cutting-edge AI solutions while enjoying competitive compensation and a culture that encourages continuous learning and development. This role not only allows you to tackle real-world business challenges but also positions you at the forefront of AI technology, making it an exciting place for passionate engineers to thrive.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working with LLMs. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and LLMs. This can be a game-changer when you're chatting with clients or hiring managers.
✨Tip Number 3
Prepare for hands-on interviews! Brush up on your Python skills and be ready to demonstrate your experience with RAG, embeddings, and vector databases. Practice coding challenges to keep your skills sharp.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Don’t miss out on the chance to land that contract role as a Forward Deployed AI Engineer!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python and AI/LLM systems. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on experience with RAG, prompt engineering, and vector databases.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for AI and problem-solving.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building prototypes or deploying AI solutions, we want to know what you've done and how it relates to the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and LLMs. Be ready to discuss your hands-on experience with RAG, prompt engineering, and vector databases. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to practical applications.
✨Understand the Business Side
Since this role involves working closely with clients, it’s crucial to understand how AI solutions can solve real business problems. Do some research on the company’s clients and think about how your skills can help them. This will show that you’re not just a techie but also a strategic thinker.
✨Showcase Your Python Skills
As strong Python engineering experience is a must, be prepared to discuss specific projects where you’ve used Python in AI/LLM systems. Bring examples of your work or even code snippets if possible. This will demonstrate your technical prowess and give you an edge.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about their current projects, challenges they face with AI deployment, or how they measure success. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
