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 collaborative environment.
- 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
If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.
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 employer: UK CPC
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 AI solutions while engaging directly with enterprise clients. Our supportive culture fosters professional development and encourages you to turn complex business challenges into impactful technological advancements.
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 brushing up on your technical knowledge and 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! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
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 Problem-Solving Skills:In your application, give examples of how you've translated ambiguous business problems into practical AI solutions. We’re looking for candidates who can think critically and deliver results, so share those success stories!
Apply Through Our Website:Don’t forget to hit that apply button on our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at UK CPC
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the tools mentioned in the job description, like LangChain and OpenAI. Be ready to discuss your hands-on experience with AI/LLM systems and how you've tackled real-world problems using these technologies.
✨Understand the Business Context
Since this role involves working closely with clients, it's crucial to understand their business challenges. Research the company and think about how generative AI can solve specific problems for them. This will help you translate technical jargon into relatable solutions during the interview.
✨Prepare for Client-Facing Scenarios
Expect questions that assess your ability to communicate with both technical and non-technical stakeholders. Think of examples from your past experiences where you successfully navigated these conversations and delivered results. Show them you're not just a tech whiz but also a great communicator!
✨Practice Problem-Solving on the Spot
You might be asked to solve a hypothetical problem during the interview. Practice thinking aloud as you work through a problem, demonstrating your thought process. This will showcase your ability to turn ambiguous requirements into practical AI solutions, which is key for this role.
