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- Tasks: Design and deploy Generative AI solutions while collaborating with stakeholders.
- Company: Leading technology firm in Northern Ireland with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team to innovate and shape the future of AI technology.
- Qualifications: Strong Python programming skills and experience with Generative AI and AI/ML frameworks.
- Other info: Exciting environment with a commitment to responsible AI practices.
The predicted salary is between 50000 - 60000 £ per year.
A leading technology firm in Northern Ireland seeks an experienced professional to design and deploy Generative AI solutions. The ideal candidate must have strong programming skills in Python, hands-on experience with Generative AI, and familiarity with AI/ML frameworks.
You will collaborate with stakeholders to integrate AI capabilities while ensuring responsible practices. Knowledge of cloud platforms and API integration is essential. Join us to innovate within a dynamic team environment.
Generative AI Engineer: LLMs, Prompts & Enterprise Apps employer: Smartedge Solutions Ltd
Contact Detail:
Smartedge Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer: LLMs, Prompts & Enterprise Apps
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Generative AI projects, especially those involving LLMs and prompts. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills in Python and familiarising yourself with AI/ML frameworks. Practice common interview questions and be ready to discuss how you've integrated AI capabilities in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Generative AI Engineer: LLMs, Prompts & Enterprise Apps
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any hands-on experience you have with Generative AI. We want to see how your expertise aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your familiarity with AI/ML frameworks and cloud platforms, as these are key for us. A tailored application shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit!
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 Smartedge Solutions Ltd
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI, especially LLMs and prompt engineering. Be ready to discuss specific projects you've worked on and how you approached challenges in deploying these solutions.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with AI/ML Frameworks
Get comfortable with popular AI/ML frameworks like TensorFlow or PyTorch. Be prepared to discuss how you've used these tools in past projects and how they can be integrated into enterprise applications.
✨Understand Cloud Platforms and API Integration
Knowledge of cloud platforms is essential, so make sure you can talk about your experience with services like AWS or Azure. Be ready to explain how you've integrated APIs in previous roles to enhance AI capabilities.