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- Tasks: Code, test, and deploy AI-powered applications in a hybrid work environment.
- Company: Leading UK tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 3+ years in software development with AI platform experience.
- Other info: Collaborative culture with a focus on learning and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company based in the UK is seeking a Software Engineer with expertise in AI development. This hands-on role involves coding, testing, and deploying AI-powered applications in a hybrid work setup.
The ideal candidate will have over 3 years of experience in software development, familiarity with AI platforms, and a strong problem-solving mindset. Candidates will collaborate with cross-functional teams to ensure the scalability and performance of AI integrations. Eagerness to learn and adopt new AI technologies is essential.
Gen AI Software Engineer (Python) — Hybrid, 6–12m employer: Salt
Contact Detail:
Salt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Software Engineer (Python) — Hybrid, 6–12m
✨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 or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and coding prowess. This is your chance to demonstrate your problem-solving mindset and familiarity with AI platforms, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions and be ready to discuss your experience with AI development. Practice coding challenges and think about how you can contribute to cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Gen AI Software Engineer (Python) — Hybrid, 6–12m
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI development and Python. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing enthusiasm for AI and problem-solving, so let that passion come through.
Showcase Your Problem-Solving Skills: In your application, include examples of challenges you've faced in previous roles and how you tackled them. We’re looking for candidates who can think on their feet and adapt to new technologies, so share those experiences!
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Salt
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms and technologies. Be ready to discuss specific projects you've worked on, especially those involving Python. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some coding challenges during the interview. Practice common algorithms and data structures in Python, and think through your problem-solving process out loud. This helps interviewers see how you approach challenges and find solutions.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Share examples of how you’ve successfully worked in a team setting, highlighting your communication skills and adaptability.
✨Stay Curious and Eager to Learn
Express your enthusiasm for learning new AI technologies. Research recent advancements in AI and be ready to discuss how you keep your skills updated. This shows that you’re proactive and genuinely interested in growing within the field.