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- Tasks: Join a dynamic team to develop AI solutions from ideation to deployment.
- Company: Exciting SAAS Scale Up focused on innovation and disruption.
- Benefits: Competitive salary, equity, medical benefits, and hybrid work options.
- Why this job: Be part of a cutting-edge platform that transforms business decision-making.
- Qualifications: Experience with LLMs, strong software engineering skills, and solid ML fundamentals.
- Other info: Fast-paced, remote-first environment with great career growth potential.
The predicted salary is between 72000 - 84000 £ per year.
At Loop, we are working with a super exciting SAAS Scale Up who are recruiting for AI Engineers to join their Engineering & AI/ML team. They have built a world-class platform and are looking to disrupt and innovate, at speed. They provide cutting-edge technology that helps businesses make faster & smarter decisions.
The role is end-to-end, involving everything from ideation to deployment in a fast-paced, remote-first environment using an AWS-based tech stack.
- Experience with LLMs (GenAI)
- Strong software engineering skills (Java, Python etc)
- Solid Machine Learning fundamentals
- Strong academic background
Apply or reach out to Ash @ Loop for more info.
Seniority Level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology and Engineering
Industries: Software Development
Artificial Intelligence Engineer employer: Loop Recruitment
Contact Detail:
Loop Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. 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 machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals to join our team at StudySmarter.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs and any relevant software engineering skills like Java or Python. We want to see how your background aligns with what we're looking for!
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 you can contribute to our innovative team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects related to AI or machine learning, make sure to mention them! We’re keen to see your hands-on experience and how you’ve applied your skills in real-world scenarios.
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 Loop Recruitment
✨Know Your Tech Stack
Familiarise yourself with the AWS-based tech stack mentioned in the job description. Be ready to discuss how you've used similar technologies in your previous roles, especially focusing on Java and Python. This shows you’re not just a fit for the role but also genuinely interested in their tech.
✨Showcase Your AI Knowledge
Prepare to talk about your experience with LLMs and generative AI. Bring examples of projects where you've implemented these technologies, and be ready to discuss the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Demonstrate End-to-End Thinking
Since the role involves everything from ideation to deployment, think of a project where you managed the entire lifecycle. Be prepared to explain your thought process, decision-making, and how you ensured successful deployment. This will highlight your ability to work in a fast-paced environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision for AI and how they plan to innovate further. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
