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- Tasks: Build reliable AI systems using large language models and solve real-world problems.
- Company: SLR Consulting, a forward-thinking company in Scotland.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on practical system building.
- Why this job: Join a team that creates intelligent applications and makes a real impact.
- Qualifications: 2-5 years of software or AI engineering experience, proficient in Python.
The predicted salary is between 45000 - 55000 £ per year.
SLR Consulting is looking for an AI Development Engineer in Scotland. The role involves building reliable AI systems, focusing on design and implementation using large language models (LLMs).
Candidates should have 2–5 years of software or AI engineering experience, proficiency in Python, and familiarity with Docker and cloud platforms like AWS.
The position involves collaboration with product and engineering teams to deliver intelligent applications, emphasizing practical system building and real-world problem-solving.
Production AI Engineer: Build Real‐World LLM Systems in Edinburgh employer: SLR Consulting
Contact Detail:
SLR Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: Build Real‐World LLM Systems in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with LLMs. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Docker, or cloud platforms like AWS. This is your chance to demonstrate your real-world problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration with product and engineering teams will be key in this role.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Plus, it gives us a better chance to connect with you directly and understand your passion for building reliable AI systems.
We think you need these skills to ace Production AI Engineer: Build Real‐World LLM Systems in Edinburgh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any projects you've done using LLMs. We want to see how you can bring your skills to the table, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention your familiarity with Docker and cloud platforms like AWS, as these are key to what we’re looking for at SLR Consulting.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at SLR Consulting
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be prepared to discuss their architecture, strengths, and weaknesses. This will show that you’re not just familiar with the theory but can also apply it in real-world scenarios.
✨Showcase Your Python Skills
Since proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. Having a few projects under your belt to discuss can also give you an edge.
✨Familiarity with Docker and Cloud Platforms
Don’t forget to highlight your experience with Docker and cloud platforms like AWS. Be prepared to explain how you've used these tools in past projects, as this will illustrate your ability to build reliable AI systems effectively.
✨Collaboration is Key
This role involves working closely with product and engineering teams, so be ready to talk about your teamwork experiences. Share examples of how you’ve collaborated on projects, tackled challenges together, and contributed to successful outcomes.