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For Companies At a Glance
- Tasks: Design and deploy LLM-driven features for live products and platforms.
- Company: Join a scaling tech company with a collaborative engineering culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI and tackle meaningful, challenging problems.
- Qualifications: Experience with LLMs, strong Python skills, and a problem-solving mindset.
- Other info: High-impact role with real ownership and excellent career development opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
You will:
- Design, build and deploy LLM-driven features into live products and platforms
- Work with both commercial and open-source LLMs, selecting the right model for each use case
- Build and optimise RAG pipelines, embeddings and vector-based retrieval solutions
- Develop APIs and services that integrate LLMs with existing AI, data and platform systems
- Optimise solutions for performance, reliability, latency and cost
- Collaborate with engineering, AI and product teams to identify and deliver high-value use cases
- Ensure all solutions meet security, compliance and data governance standards
What My Client Is Looking For
Essential
- Proven experience deploying LLMs in production
- Strong Python development skills
- Handsâon experience with:
- Prompt engineering and evaluation
- RetrievalâAugmented Generation (RAG)
- Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma)
Highly Desirable
- Experience working with or fineâtuning openâsource LLMs
- Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning)
- Experience integrating LLMs into complex or dataâheavy systems
- Docker and Linux experience
- Background in regulated, industrial or safetyâcritical environments
The Right Mindset
- Pragmatic, deliveryâfocused and comfortable working with ambiguity
- Able to translate complex AI concepts into practical solutions
- Confident owning problems endâtoâend, from idea through to deployment
- Motivated by building AI that has realâworld impact
Why Apply?
- Highâimpact role with real ownership
- Opportunity to shape how LLMs are used in production environments
- Work on meaningful, technically challenging problems
- Collaborative engineering culture within a scaling business
LLM Engineer / AI Engineer - Cheshire in London employer: Adria Solutions Ltd.
Contact Detail:
Adria Solutions Ltd. Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land LLM Engineer / AI Engineer - Cheshire in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes itâs not just what you know, but who you know that can help you land that LLM Engineer gig.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs, especially if you've worked with RAG pipelines or built APIs. We want to see what you can do, so make it easy for potential employers to check out your work.
â¨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with prompt engineering and vector databases. We recommend practising common interview questions related to AI and LLMs to boost your confidence.
â¨Tip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace LLM Engineer / AI Engineer - Cheshire in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience with LLMs and Python. We want to see how you've tackled similar challenges before, so donât hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how you can contribute to our team. Keep it engaging and relevant to the role.
Showcase Your Projects: If you've worked on any projects involving LLMs, RAG pipelines, or APIs, make sure to mention them. We love seeing practical examples of your skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity!
How to prepare for a job interview at Adria Solutions Ltd.
â¨Know Your LLMs
Make sure you brush up on your knowledge of both commercial and open-source LLMs. Be ready to discuss which models are best suited for different use cases, and have examples in mind that showcase your experience deploying them in production.
â¨Showcase Your Python Skills
Since strong Python development skills are essential, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
â¨Understand RAG and Embeddings
Familiarise yourself with Retrieval-Augmented Generation (RAG) and vector databases like FAISS or Pinecone. Be prepared to discuss how you've built and optimised RAG pipelines in the past, as well as any challenges you faced and how you overcame them.
â¨Emphasise Collaboration
This role involves working closely with engineering, AI, and product teams. Highlight your experience collaborating on projects, and be ready to share examples of how youâve successfully delivered high-value use cases while ensuring compliance and data governance standards.
