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- Tasks: Design, build, and deploy cutting-edge AI systems using large language models.
- Company: A growing AI consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary and opportunities for career growth in a collaborative environment.
- Why this job: Join a dynamic team and work on impactful AI projects that shape the future.
- Qualifications: Experience with LLM APIs, strong Python skills, and cloud platform knowledge.
- Other info: Perfect for ambitious professionals looking to make a difference in AI.
The predicted salary is between 28800 - 48000 £ per year.
A growing AI consultancy in the UK is seeking an experienced AI Engineer to design, build, and deploy production-grade AI systems. The role focuses on integrating large language models with an emphasis on reliability and scalability.
Candidates should possess hands-on experience with LLM APIs, solid Python proficiency, and a good understanding of cloud platforms.
This position offers career growth in a collaborative environment and competitive salary, making it a great opportunity for ambitious professionals.
AI Engineer – Production LLM Systems & Agent Orchestration employer: Indicium AI
Contact Detail:
Indicium AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer – Production LLM Systems & Agent Orchestration
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with professionals 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 projects with LLMs and Python. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process when integrating large language models, as this will highlight your expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that AI Engineer role!
We think you need these skills to ace AI Engineer – Production LLM Systems & Agent Orchestration
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with LLM APIs and Python in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your experience relates to designing and deploying production-grade AI systems, as that’s what we’re all about!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and your qualifications shine through without any fluff.
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 from our team!
How to prepare for a job interview at Indicium AI
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models. Be prepared to discuss specific APIs you've worked with and how you've integrated them into production systems. This shows that you’re not just familiar with the theory but have practical experience.
✨Showcase Your Python Skills
Since solid Python proficiency is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss past projects where you used Python effectively. Practising common algorithms or data structures can give you an edge.
✨Cloud Platforms Are Key
Familiarise yourself with the cloud platforms relevant to the role. Whether it’s AWS, Azure, or Google Cloud, know the services that support AI deployment. Being able to discuss how you’ve leveraged these platforms in previous roles will highlight your readiness for the job.
✨Emphasise Collaboration
This role thrives in a collaborative environment, so be prepared to talk about your teamwork experiences. Share examples of how you’ve worked with cross-functional teams to deliver AI solutions. This will show that you can contribute positively to their team culture.