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 teamwork.
- 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 LLM applications 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 your backend skills and understanding deployment processes on AWS, GCP, or Azure. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨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 are proactive about their job search!
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 experience with software engineering and backend skills. We want to see how your background aligns with building reliable AI systems, so don’t be shy about showcasing relevant 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 skills can help us design production-grade systems. Keep it engaging and personal – we love to see your personality!
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 want to know how you can contribute to our intelligent solutions!
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. Plus, it shows you’re keen to join our team!
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 think about specific examples where you've designed or developed applications using LLMs.
✨Showcase Your Backend Skills
Since strong backend skills are crucial for this role, be ready to talk about your experience with backend technologies. Prepare to discuss frameworks, languages, and any relevant projects that highlight your expertise in building robust systems.
✨Cloud Deployment Know-How
Familiarise yourself with cloud platforms like AWS, GCP, or Azure. Be prepared to explain how you've deployed applications in the cloud, including any challenges you faced and how you overcame them. This will show your practical understanding of production-grade systems.
✨Collaboration is Key
This role involves working across teams, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team projects, as this will demonstrate your ability to work well in a collaborative environment.
