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- Tasks: Design and deploy LLM-driven features for real-world applications.
- Company: Fast-growing AI tech company focused on safety-critical environments.
- Benefits: Competitive salary, collaborative culture, and impactful projects.
- Why this job: Shape the future of AI with real-world impact and ownership.
- Qualifications: Proven LLM deployment experience and strong Python skills.
- Other info: Join a dynamic team tackling meaningful, technical challenges.
My client is a fast-growing AI technology company building intelligent systems deployed in real-world, safety-critical environments. Their solutions combine advanced AI, data, and edge technologies to support decision-making and reduce risk in high-hazard industrial settings.
They are now looking to hire a Senior LLM Engineer to help design and deliver large language model–powered capabilities across internal platforms and customer-facing products. This is a hands-on, production-focused role for someone with strong real-world LLM experience, not a purely research or experimental background.
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)
Highly Desirable
- 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!
Senior LLM Engineer / AI Engineer – Cheshire in Chester employer: Adria Solutions Ltd
Contact Detail:
Adria Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior LLM Engineer / AI Engineer – Cheshire in Chester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects, especially those that demonstrate your hands-on experience. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex AI concepts in simple terms, as this will help you stand out during discussions with hiring managers.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior LLM Engineer / AI Engineer – Cheshire in Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your real-world LLM experience and Python skills. We want to see how you've designed and deployed LLM-driven features, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your hands-on experience with RAG pipelines and how you’ve tackled complex AI challenges in the past.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've owned problems from start to finish. We love candidates who can translate complex AI concepts into practical solutions, so share your success stories!
Apply Through Our Website: Don’t forget to apply through 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 Adria Solutions Ltd
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the large language models relevant to the role. Brush up on your experience with both commercial and open-source LLMs, and be ready to discuss specific projects where you've deployed them in production.
✨Showcase Your Python Skills
Since strong Python development skills are essential, prepare to demonstrate your coding abilities. Bring examples of your work, especially those involving prompt engineering, RAG pipelines, or building APIs with FastAPI or Flask.
✨Understand the Trade-offs
Be prepared to talk about the trade-offs between accuracy, latency, cost, and scalability. Think of real-world scenarios where you had to make these decisions and how they impacted the project outcomes.
✨Emphasise Collaboration and Problem-Solving
This role requires working closely with various teams, so highlight your collaborative experiences. Share examples of how you’ve owned problems from start to finish and how you translated complex AI concepts into practical solutions.
