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- Tasks: Design and develop AI-driven systems using cutting-edge NLP algorithms.
- Company: Leading talent solutions firm with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Bachelor's degree in Computer Science and strong skills in Pattern Recognition.
- Other info: Collaborative environment with diverse projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading talent solutions firm is looking for an AI Engineer specializing in Agentic and Generative AI. This hybrid role involves designing and developing AI-driven systems, implementing NLP algorithms, and advancing machine learning applications.
The ideal candidate will have strong skills in Pattern Recognition and a Bachelor's degree in Computer Science or a related field. The role offers flexibility to work remotely, allowing for collaborative work in diverse environments.
Generative AI Engineer – Agentic NLP | Hybrid/Remote in London employer: Infodigix
Contact Detail:
Infodigix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer – Agentic NLP | Hybrid/Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and NLP space on LinkedIn or at 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 in generative AI and NLP. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI and machine learning questions, and be ready to discuss your experience with pattern recognition. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Generative AI Engineer – Agentic NLP | Hybrid/Remote in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI, NLP, and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool AI-driven systems or NLP algorithms, make sure to mention them in your application. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Infodigix
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Agentic and Generative AI. Be ready to discuss specific projects you've worked on, especially those involving NLP algorithms and machine learning applications. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Pattern Recognition Skills
Since the role requires strong skills in Pattern Recognition, prepare examples of how you've applied these skills in past projects. Whether it’s through data analysis or developing algorithms, having concrete examples will help you stand out.
✨Emphasise Collaboration
This position offers flexibility for remote work, so be prepared to discuss how you’ve successfully collaborated with teams in diverse environments. Share experiences where you’ve used communication tools effectively to bridge gaps and keep projects on track.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI development or how they envision the future of their AI systems. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
