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- Tasks: Lead a team of AI Engineers and develop LLM-powered applications.
- Company: High-growth fintech company in London with a hybrid work model.
- Benefits: Competitive salary up to £140k and opportunities for career advancement.
- Why this job: Join a talented team and drive impactful AI features that users love.
- Qualifications: Strong background in GenAI systems, line management experience, and Python proficiency.
- Other info: Mentorship role in a dynamic environment focused on engineering best practices.
The predicted salary is between 84000 - 196000 £ per year.
A high-growth fintech company is seeking a Lead GenAI Engineer in London for a hybrid role. This position involves mentoring a small team of AI Engineers while leading the development of LLM-powered applications.
Ideal candidates should have:
- a strong background in GenAI systems,
- line management experience,
- proficiency in Python.
Join a talented team to drive impactful, user-facing AI features and establish engineering best practices. Competitive salary package up to £140k offered.
Lead GenAI Engineer & Team Lead — LLM Architect employer: Maze
Contact Detail:
Maze Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead GenAI Engineer & Team Lead — LLM Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with GenAI systems and LLM applications. This is your chance to demonstrate your expertise in Python and how you've led teams to success.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI engineering and team leadership. Practice explaining complex concepts in simple terms, as you'll need to mentor others and communicate effectively.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our talented team at StudySmarter.
We think you need these skills to ace Lead GenAI Engineer & Team Lead — LLM Architect
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with GenAI systems and Python in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your line management experience and how you’ve successfully led teams in the past. We love seeing candidates who can connect their experiences directly to what we’re looking for.
Be Authentic: Let your personality shine through in your written application. We’re not just looking for skills; we want to know who you are as a person. Share your passion for AI and how you envision contributing to our team at StudySmarter.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Maze
✨Know Your GenAI Inside Out
Make sure you brush up on your knowledge of Generative AI systems, especially LLMs. Be prepared to discuss your previous projects and how you've applied these technologies in real-world scenarios. This will show your depth of understanding and passion for the field.
✨Showcase Your Leadership Skills
Since this role involves mentoring a team, be ready to share examples of your line management experience. Talk about how you've successfully led teams in the past, resolved conflicts, and fostered a collaborative environment. This will demonstrate your capability as a team lead.
✨Demonstrate Your Python Proficiency
As proficiency in Python is crucial for this role, prepare to discuss your coding experience. You might even be asked to solve a coding challenge during the interview, so practice common algorithms and data structures to showcase your skills effectively.
✨Align with Their Vision
Research the company’s mission and values, especially their focus on impactful user-facing AI features. Be ready to articulate how your personal goals align with theirs and how you can contribute to establishing engineering best practices within the team.
