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- Tasks: Develop advanced AI systems and collaborate on transformative projects.
- Company: Leading AI solutions provider in Greater London with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and the chance to work on global projects.
- Why this job: Join a dynamic team and redefine enterprise AI with cutting-edge technology.
- Qualifications: Hands-on experience with LLMs and strong programming skills required.
- Other info: Mentor Junior Engineers and drive impactful AI projects in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI solutions provider in Greater London is seeking an AI Engineer to develop advanced AI systems, focusing on LLMs and transformative solutions for various industries. The role involves collaboration, innovation, and mentoring Junior Engineers while driving impactful AI projects.
Candidates should have hands-on experience with LLMs, strong programming skills, and a passion for problem-solving. This position offers the opportunity to work on global projects that redefine enterprise AI.
AI Engineer: Build Enterprise-Agent AI Solutions employer: Elixirr Digital
Contact Detail:
Elixirr Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Build Enterprise-Agent AI Solutions
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs. 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 AI engineering questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the interview experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer: Build Enterprise-Agent AI Solutions
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with LLMs and any relevant programming skills. We want to see how you can contribute to our innovative projects, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention specific projects or experiences that align with developing advanced AI systems. This helps us see why you’re a great fit for the role.
Be Yourself: Let your personality shine through in your application. We value collaboration and innovation, so showing us your passion for problem-solving and mentoring will definitely catch our eye!
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’re considered for this exciting opportunity to redefine enterprise AI.
How to prepare for a job interview at Elixirr Digital
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and passion for AI.
✨Showcase Your Programming Skills
Since strong programming skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand. Familiarity with languages like Python or Java can give you an edge.
✨Collaboration is Key
This role involves mentoring Junior Engineers and collaborating on projects. Prepare examples of how you've successfully worked in teams or mentored others in the past. Highlight your communication skills and how you foster a collaborative environment.
✨Be Ready to Innovate
The company is looking for someone who can drive impactful AI projects. Think about innovative solutions you've developed or contributed to in previous roles. Be ready to discuss your thought process and how you approach problem-solving in a creative way.
