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For Companies At a Glance
- Tasks: Design and deploy LLM-driven features in 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 £ per year.
The Role
- 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
- Hands-on experience with:
- Prompt engineering and evaluation
- Retrieval-Augmented Generation (RAG)
- Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma)
- Experience building LLM-backed services using FastAPI / Flask or similar
- Experience working with or fine-tuning open-source LLMs
- Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning)
- Experience integrating LLMs into complex or data-heavy systems
- Docker and Linux experience
- Background in regulated, industrial or safety-critical environments
The Right Mindset
- Pragmatic, delivery-focused and comfortable working with ambiguity
- Able to translate complex AI concepts into practical solutions
- Confident owning problems end-to-end, from idea through to deployment
- Motivated by building AI that has real-world impact
Why Apply?
- High-impact 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
Interested? Please Click Apply Now!
LLM Engineer / AI Engineer - Cheshire in England employer: Adria Solutions Ltd.
Contact Detail:
Adria Solutions Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Engineer / AI Engineer - Cheshire in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects, especially those involving Python and RAG pipelines. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and their applications. Be ready to discuss trade-offs around accuracy, latency, and cost, as these are hot topics in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace LLM Engineer / AI Engineer - Cheshire in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and Python development. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any LLM-driven features or related projects, make sure to mention them in your application. We’re keen to see real-world examples of your work, especially those that demonstrate your problem-solving skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Adria Solutions Ltd.
✨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 from your past experience where you've successfully deployed LLMs in production.
✨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 or optimise a piece of code during the interview, so practice common algorithms and data structures relevant to AI engineering.
✨Understand RAG and Embeddings
Familiarise yourself with Retrieval-Augmented Generation (RAG) and vector databases like FAISS or Pinecone. Be prepared to explain how you've built and optimised RAG pipelines in the past, as well as how you approach embedding solutions for performance and reliability.
✨Emphasise Collaboration
This role involves working closely with various teams, so highlight your collaborative experiences. Share examples of how you've worked with engineering, AI, and product teams to deliver high-value use cases, and how you ensure compliance and security in your projects.
