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- Tasks: Create bespoke AI solutions and innovate with cutting-edge technology.
- Company: Fast-growing UK tech start-up with a focus on Generative AI.
- Benefits: Unique growth opportunities, collaborative culture, and impactful projects.
- Why this job: Join a team of experienced founders and shape the future of AI.
- Qualifications: Expertise in Generative AI, Python programming, and software engineering.
- Other info: Dynamic environment with potential for significant career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing tech start-up in the UK is seeking individuals with expertise in Generative AI, Python programming, and a strong software engineering background. The role involves creating bespoke technical solutions for clients and establishing innovative AI visions. You will be joining a team of experienced founders ready to make an impact in the industry, offering a unique opportunity for growth and success in a collaborative environment.
Gen AI Solutions Engineer — Bespoke Client Solutions employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Solutions Engineer — Bespoke Client Solutions
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Generative AI projects or any bespoke solutions you've developed. This is your chance to demonstrate your Python programming prowess and software engineering skills in action.
✨Tip Number 3
Prepare for those interviews! Research common questions related to Generative AI and be ready to discuss your past experiences. We recommend practising with friends or using mock interview platforms 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 are proactive about their job search!
We think you need these skills to ace Gen AI Solutions Engineer — Bespoke Client Solutions
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Generative AI and Python programming. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Customise your application to reflect our company culture and the specifics of the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for in a Gen AI Solutions Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for creating bespoke solutions shines through without unnecessary 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’re considered for this exciting opportunity in our fast-growing team!
How to prepare for a job interview at Saragossa
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest trends and technologies in Generative AI. Be prepared to discuss specific projects you've worked on, showcasing your expertise and how it can benefit the company.
✨Show Off Your Python Skills
Since Python programming is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand Bespoke Solutions
Familiarise yourself with what bespoke solutions mean in the context of client needs. Think of examples where you've tailored solutions to meet specific requirements, and be ready to share these during the interview.
✨Emphasise Collaboration and Innovation
This role is all about working in a team and pushing innovative ideas. Prepare to discuss how you've collaborated with others in the past and how you can contribute to creating a unique AI vision for clients.
