Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI initiatives and develop innovative features using cutting-edge technologies.
- Company: A leading software marketplace in Greater London with a focus on inclusivity.
- Benefits: Competitive salary, mentorship opportunities, and a supportive work environment.
- Why this job: Join a diverse team and make a significant impact in the AI space.
- Qualifications: 8-10 years of experience in software engineering, proficient in Ruby on Rails and Python.
- Other info: Dynamic workplace with a commitment to innovation and career growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading software marketplace in Greater London is seeking a Staff Software Engineer specializing in AI technologies. This role involves building and implementing AI-powered features within their product suite, mentoring teammates, and driving high-impact AI initiatives.
The ideal candidate has 8-10 years of experience, is proficient in Ruby on Rails and Python, and has hands-on experience with LLM APIs. Join a diverse team committed to inclusivity and innovation in a supportive environment!
Staff AI Software 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 Software 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 Ruby on Rails and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and LLM APIs. Practice coding challenges 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 Software Engineer - Generative Tech Lead in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Ruby on Rails and Python in your application. We want to see how you've used these technologies in real projects, especially if you've worked with LLM APIs!
Be Yourself: We value diversity and inclusivity, so don’t be afraid to let your personality shine through in your application. Share your unique experiences and perspectives that make you a great fit for our team.
Tailor Your Application: Take the time to customise your CV and cover letter for this role. Mention specific AI initiatives you've led or contributed to, as we’re looking for someone who can drive high-impact projects.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at g2
✨Know Your Tech Inside Out
Make sure you brush up on your Ruby on Rails and Python skills. Be ready to discuss specific projects where you've implemented AI features, especially using LLM APIs. This will show that you not only understand the tech but can also apply it effectively.
✨Showcase Your Mentoring Skills
Since this role involves mentoring teammates, think of examples where you've guided others in their work. Prepare to share how you approach mentorship and how it has positively impacted your team’s performance.
✨Emphasise Inclusivity and Innovation
This company values a diverse and inclusive environment. Be prepared to discuss how you’ve contributed to such an atmosphere in previous roles. Highlight any innovative projects you've led that align with these values.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in AI projects and how you overcame them. This will demonstrate your critical thinking and adaptability.
