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: Initial 6-month contract with potential for growth in a vibrant 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 (Contract) 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 competitive daily rates and a focus on professional growth, you'll have the opportunity to work on cutting-edge AI solutions while engaging directly with clients to solve real-world business challenges. Our supportive culture fosters continuous learning and development, making it an ideal place for forward-thinking engineers looking to make a meaningful impact.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Ai Engineer (Contract)
✨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 AI projects, especially those involving RAG, embeddings, and vector databases. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions. Be ready to discuss your past projects and how you've tackled real-world problems using AI solutions.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about landing that contract position.
We think you need these skills to ace Ai Engineer (Contract)
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 relevant projects or roles you've had!
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 hands-on experience with RAG, prompt engineering, and any client-facing work you've done. We love a good story!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled business problems with AI solutions in the past. We’re looking for someone who can turn requirements into practical applications, so let us know how you’ve done that before!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific AI technologies mentioned in the job description, like LLMs and embeddings. Brush up on your hands-on experience with RAG and vector databases, as you might be asked to discuss your previous projects or even solve a problem on the spot.
✨Understand the Business Context
Since this role involves working closely with clients, it’s crucial to understand how AI solutions can address their business problems. Research the company’s products and think about how you can apply your skills to create practical solutions that meet client needs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to demonstrate your problem-solving skills in real-world scenarios. Prepare examples from your past experiences where you successfully deployed AI solutions or tackled complex engineering challenges, highlighting your thought process and outcomes.
✨Showcase Your Communication Skills
As a Forward Deployed AI Engineer, you’ll need to communicate technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on how you collaborated with clients and translated their requirements into effective AI solutions.
