At a Glance
- Tasks: Build and deploy cutting-edge AI solutions for enterprise clients.
- Company: Fast-growing AI product company with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and hands-on experience.
- Other info: Exciting opportunity to work with top-tier tools and technologies.
- Why this job: Join a dynamic team and make a real impact in the AI space.
- 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 Corporation™
Join a dynamic and innovative AI product company in London, where you will have the opportunity to work on cutting-edge LLM-powered solutions that make a real impact for enterprise clients. With a strong emphasis on collaboration and professional growth, this role offers a hybrid work environment that fosters creativity and flexibility, alongside competitive daily rates and the chance to engage with both technical and non-technical stakeholders. Embrace the challenge of translating complex business problems into practical AI solutions while being part of a supportive team that values your contributions.
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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead or can introduce you to someone at a company you're interested in.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your client-facing skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have some fantastic opportunities that could be a perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
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 translated complex business problems into technical solutions. We’re looking for candidates who can think critically and communicate effectively with both technical and non-technical stakeholders.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
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 RAG techniques, as you’ll likely be asked to demonstrate your understanding during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated ambiguous business problems into practical AI solutions. Think about past projects where you worked closely with clients and how you approached their challenges. This will highlight your hands-on experience and client-facing skills.
✨Practice Client Interaction Scenarios
Since this role involves working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Role-play potential client interactions to build your confidence and ensure you can communicate effectively during the interview.
✨Be Ready for Technical Questions
Expect technical questions that test your knowledge of AI/LLM systems and your coding skills. Brush up on common algorithms and be prepared to solve coding challenges on the spot. This will show your readiness for a hands-on role and your ability to think on your feet.
