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 the AI field.
- Why this job: Join a dynamic team and transform business challenges into practical AI applications.
- 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 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 LLM-powered 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
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working with LLMs and Python. 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/LLM systems. This could be anything from prototypes to production-ready solutions. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you’ve tackled real-world business problems using AI solutions. We want to see your thought process and how you can apply your knowledge.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Keep an eye on our job listings and make sure to submit your application directly for the best chance at landing that contract.
We think you need these skills to ace AI Engineer
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 the perfect fit for this role. Talk about your previous projects and how they relate to the challenges we face at StudySmarter. Keep it engaging and relevant!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex business problems using AI solutions. We love seeing real-world applications of your skills, so share specific instances where you’ve made an impact.
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. Plus, it shows you’re keen to join 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. The more specific examples you can provide about your past projects, the better!
✨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. Think about how you've translated client requirements into practical AI applications in the past and be prepared to share those stories.
✨Show Off Your Python Skills
As a Forward Deployed AI Engineer, strong Python engineering experience is key. Be ready to discuss your coding practices, any frameworks you’ve used, and even tackle some coding challenges if asked. Practice common algorithms and data structures to keep your skills sharp!
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI products, their deployment strategies, and how they measure success. This shows your genuine interest and helps you gauge if the company is the right fit for you.
