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 opportunity for career growth in a client-facing role.
- 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.
About the Role
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.
Responsibilities
- Building, prototyping and deploying AI/LLM products
- Working with enterprise customers and internal engineering teams
- Using Python, LLMs, RAG, embeddings and vector databases
- Working with tools such as LangChain, LlamaIndex, OpenAI, Azure OpenAI or Anthropic
- Translating ambiguous business problems into working technical solutions
Qualifications
- Strong Python engineering experience
- Production experience with AI/LLM systems
- Hands-on RAG, prompt engineering, embeddings or vector database experience
- Confidence working with technical and non-technical stakeholders
- Comfortable in a client-facing, delivery-focused role
Required Skills
- Strong Python engineering experience
- Production experience with AI/LLM systems
- Hands-on RAG, prompt engineering, embeddings or vector database experience
- Confidence working with technical and non-technical stakeholders
- Comfortable in a client-facing, delivery-focused role
Preferred Skills
- Experience with tools such as LangChain, LlamaIndex, OpenAI, Azure OpenAI or Anthropic
Pay range and compensation package
- Contract: Initial 6 months
- IR35: TBC
- Rate: £600–£750/day
- Location: Hybrid London
Generative AI Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a dynamic and innovative AI product company that values collaboration and creativity, offering a hybrid work environment in the vibrant city of London. With competitive daily rates and a focus on employee growth, you will have the opportunity to work on cutting-edge LLM-powered solutions while engaging directly with enterprise clients. Our culture fosters continuous learning and development, making it an ideal place for those looking to make a meaningful impact in the AI landscape.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with LLMs or similar technologies. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI/LLM systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and client-facing roles. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python engineering experience and any work you've done with AI/LLM systems. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
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 experience aligns with the responsibilities. We love seeing genuine enthusiasm for AI and client-facing roles.
Showcase Your Technical Skills:When listing your skills, be specific about your experience with tools like LangChain, OpenAI, or Azure OpenAI. We’re looking for hands-on experience, so include examples of how you’ve used these in past projects.
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 Tech Inside Out
Make sure you’re well-versed in Python and the specific AI tools mentioned in the job description, like LangChain and OpenAI. Brush up on your knowledge of LLMs and embeddings, as you might be asked to explain how you've used them in past projects.
✨Understand the Business Context
Since this role involves working closely with clients, it’s crucial to grasp how AI solutions can solve real business problems. Research the company’s clients and think about how your skills can address their needs. This will show that you’re not just a techie but also a problem-solver.
✨Prepare for Client-Facing Scenarios
Expect questions about how you would handle client interactions. Think of examples where you’ve successfully communicated complex technical concepts to non-technical stakeholders. This will demonstrate your confidence and ability to bridge the gap between tech and business.
✨Showcase Your Hands-On Experience
Be ready to discuss specific projects where you built or deployed AI solutions. Highlight your hands-on experience with RAG and prompt engineering, and be prepared to walk through your thought process and the outcomes of those projects.
