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 hands-on engineers looking to make a difference.
- Why this job: Join a dynamic team and turn complex business problems into practical AI solutions.
- 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
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 in London employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Join a dynamic and innovative AI product company that values collaboration and creativity, offering a hybrid work environment in the vibrant city of London. As a Generative AI Engineer, you'll have the opportunity to work on cutting-edge LLM-powered solutions while engaging directly with enterprise clients, fostering both personal and professional growth. With a strong emphasis on employee development and a culture that encourages experimentation, this role promises a rewarding experience for those passionate about transforming business challenges into impactful AI solutions.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with LLMs or similar technologies. 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, especially those involving Python and AI/LLM systems. This will give you an edge when chatting with clients or hiring managers.
✨Tip Number 3
Prepare for client-facing scenarios! Brush up on your communication skills to confidently explain complex AI concepts to non-technical stakeholders. Practice makes perfect, so role-play with friends if you can!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Generative AI Engineer in London
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 Problem-Solving Skills:In your application, give examples of how you've tackled ambiguous business problems in the past. We’re looking for candidates who can translate complex issues into practical AI solutions, so share those success stories!
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 CorporationTM
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific AI tools mentioned, like LangChain and OpenAI. Brush up on your knowledge of LLMs and embeddings, as you’ll likely be asked to demonstrate your understanding of these technologies during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous business problems in the past. Think of examples where you translated client needs into practical AI solutions, as this will highlight your hands-on experience and ability to work closely with stakeholders.
✨Practice Client-Facing Scenarios
Since the role is client-facing, rehearse how you would communicate complex technical concepts to non-technical stakeholders. This could involve role-playing with a friend or colleague to build your confidence in delivering clear and concise explanations.
✨Be Ready for Technical Questions
Expect some deep-dive questions about your production experience with AI/LLM systems. Prepare to discuss specific projects you’ve worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
