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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 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
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and NLP fields on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI and NLP. This can be a game-changer during interviews, giving us tangible proof of your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your pattern recognition and machine learning concepts. Practice coding challenges and mock interviews to boost your confidence.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Generative AI Engineer – Agentic NLP | Hybrid/Remote
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 or experiences where you've implemented NLP algorithms or machine learning applications. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Pattern Recognition Skills
Since the role requires strong skills in Pattern Recognition, prepare examples that highlight your expertise in this area. Think about challenges you've faced and how you solved them using pattern recognition techniques. This will demonstrate your problem-solving abilities.
✨Emphasise Collaboration
Given the hybrid nature of the role, be prepared to talk about your experience working in diverse environments. Share examples of how you've successfully collaborated with remote teams or adapted to different work settings. This will show that you can thrive in a flexible work environment.
✨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 not only shows your interest but also gives you a chance to assess if the company aligns with your career goals.
