At a Glance
- Tasks: Design and develop reliable AI systems using large language models.
- Company: SLR Consulting, a forward-thinking tech company in Manchester.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a team creating intelligent solutions that make a real-world impact.
- Qualifications: 2-5 years of software engineering experience and strong backend skills.
The predicted salary is between 50000 - 60000 € per year.
SLR Consulting is looking for an AI Development Engineer in Manchester to build reliable AI systems powered by large language models. The role involves designing production-grade systems, developing LLM applications, and collaborating across teams to deliver intelligent solutions.
Ideal candidates should have:
- 2-5 years of software engineering experience
- Strong backend skills
- Knowledge of deployment on cloud platforms like AWS, GCP, or Azure
Production AI Engineer: Build Real‐World LLM Systems in Manchester employer: SLR Consulting
SLR Consulting is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Manchester. With a strong focus on employee growth, we offer numerous opportunities for professional development and skill enhancement, particularly in cutting-edge AI technologies. Our commitment to building reliable AI systems not only empowers our team but also contributes to meaningful projects that make a real-world impact.
StudySmarter Expert Advice🤫
We think this is how you could land Production AI Engineer: Build Real‐World LLM Systems in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at local meetups. 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 projects, especially those involving LLMs or cloud deployments. 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 common technical questions related to backend development and AI systems. Practising with mock interviews can help us feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed.
We think you need these skills to ace Production AI Engineer: Build Real‐World LLM Systems in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in software engineering and backend development. We want to see how your skills align with building reliable AI systems, so don’t hold back on showcasing your 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 background in LLM applications can contribute to our team. Let’s see your personality come through!
Showcase Your Cloud Knowledge:Since we’re looking for someone with deployment experience on cloud platforms like AWS, GCP, or Azure, make sure to mention any relevant projects or certifications. We love seeing practical examples of your expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Let’s get your journey started!
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 how you've used them in past projects and the specific challenges you faced. This shows that you not only understand the technology but can also apply it effectively.
✨Showcase Your Backend Skills
Since strong backend skills are crucial for this role, be ready to talk about your experience with backend development. Bring examples of systems you've built or contributed to, especially those involving cloud deployment on platforms like AWS, GCP, or Azure.
✨Collaboration is Key
This role involves working across teams, so highlight your teamwork experiences. Share specific instances where you collaborated with others to deliver intelligent solutions, and how you navigated any challenges that arose during those projects.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about SLR Consulting's approach to AI systems and their team dynamics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
