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- Tasks: Build cutting-edge AI features and mentor a talented team.
- Company: Leading software marketplace in Greater London with a diverse culture.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Why this job: Join a team pushing tech boundaries and make a real impact in AI.
- Qualifications: 8-10 years of experience, expert Python skills, and knowledge of generative AI.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A leading software marketplace in Greater London is seeking a Staff Software Engineer specialized in AI/Generative technologies. The role involves building sophisticated AI-powered features, mentoring team members, and implementing AI-first solutions in a dynamic environment.
Ideal candidates will have 8-10 years of experience, expert-level Python skills, and a solid understanding of generative AI. Join a diverse and inclusive team pushing the boundaries of technology.
Staff AI Engineer — Generative Tech Lead in London employer: g2
Contact Detail:
g2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer — Generative Tech Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 AI projects, especially those involving generative tech. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in generative AI. Practice common interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff AI Engineer — Generative Tech Lead in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expert-level Python skills and any experience you have with generative AI. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience fits into building AI-powered features and mentoring others, as these are key aspects of what we’re looking for.
Be Yourself: We value diversity and inclusion, so let your personality shine through in your application. Share your unique experiences and perspectives that can contribute to our dynamic team.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at g2
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in generative AI. Be ready to discuss your past projects and how you've implemented AI-first solutions. This will show that you're not just familiar with the tech, but that you can also apply it effectively.
✨Show Off Your Python Skills
Since expert-level Python skills 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. Being able to articulate your thought process while coding is key!
✨Mentorship Matters
As this role involves mentoring team members, think about your past experiences in guiding others. Be ready to share specific examples of how you've helped colleagues grow or overcome challenges. This will highlight your leadership qualities and fit within a diverse team.
✨Cultural Fit is Key
Research the company’s values and culture. Be prepared to discuss how you align with their mission of pushing technology boundaries. Showing that you’re not only a technical fit but also a cultural one can set you apart from other candidates.