Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build AI-first features and mentor a talented team in a dynamic environment.
- Company: Leading UK software marketplace focused on innovation and diversity.
- Benefits: Competitive salary, mentorship opportunities, and a chance to shape the future of AI.
- Why this job: Join a diverse team and make a real impact in the B2B software industry.
- Qualifications: 8-10 years of programming experience with expertise in Ruby on Rails and Python.
- Other info: Exciting opportunity to work with cutting-edge AI technologies.
The predicted salary is between 48000 - 72000 £ per year.
A leading software marketplace in the United Kingdom is seeking a Staff Software Engineer specializing in AI/Generative technologies. This role involves building AI-first features within a Python platform and mentoring team members.
The candidate should have:
- 8 to 10 years of programming experience
- Mastery in Ruby on Rails and Python
- Hands-on experience with AI systems
Join a diverse team aiming to advance the B2B software industry with innovative solutions.
Staff AI Engineer: Generative Systems & Mentorship in London employer: g2
Contact Detail:
g2 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer: Generative Systems & Mentorship in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any generative systems you've worked on. This is your chance to demonstrate your mastery in Python and Ruby on Rails.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the interview experience.
✨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 Staff AI Engineer: Generative Systems & Mentorship in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming experience, especially in Python and Ruby on Rails. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with AI systems and any mentoring roles you've had. This helps us see how you fit into our team and culture.
Be Authentic: Let your personality shine through in your application. We value diversity and want to know what makes you unique. Share your passion for AI and how you envision contributing to our innovative solutions.
Apply Through Our Website: For a smoother application process, make sure to apply directly through our website. It’s the best way for us to receive your application and keep track of all the amazing talent we’re looking to bring on board!
How to prepare for a job interview at g2
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Ruby on Rails skills. Be ready to discuss your past projects and how you've implemented AI technologies. The more specific examples you can provide, the better!
✨Showcase Your Mentorship Skills
Since this role involves mentoring, think of instances where you've guided others. Prepare to share how you approach mentorship and how it has positively impacted your team or projects.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Being able to align your experience with their goals will show that you're genuinely interested in contributing to their innovative solutions in the B2B software industry.
✨Prepare for Problem-Solving Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges and be ready to explain your thought process clearly. This will demonstrate your expertise and how you tackle complex issues.