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- Tasks: Design and operate AI-powered systems to enhance software development processes.
- Company: A forward-thinking financial institution with a focus on innovation.
- Benefits: Flexible hybrid work, competitive compensation, and a collaborative environment.
- Why this job: Join a team that values rapid experimentation and impactful AI solutions.
- Qualifications: Over 5 years of experience and a strong product mindset.
- Other info: Great opportunity for career growth in a dynamic industry.
The predicted salary is between 43200 - 72000 £ per year.
A forward-thinking financial institution is seeking a Senior AI-Native Engineer to design and operate AI-powered systems to enhance software development processes. The role involves collaborating with product and engineering teams to build effective AI tools and features, ensuring high-quality delivery.
Ideal candidates will have over 5 years of experience, a strong product mindset, and a passion for rapid experimentation. This hybrid position offers flexibility, competitive compensation, and a collaborative environment.
Senior AI-Enablement Engineer (Full-Stack) employer: OakNorth
Contact Detail:
OakNorth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI-Enablement Engineer (Full-Stack)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects and full-stack work. This is your chance to demonstrate your passion for rapid experimentation and problem-solving.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common questions and think about how your experience aligns with the role's requirements. Confidence is key!
✨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 Senior AI-Enablement Engineer (Full-Stack)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform software development. Share any personal projects or experiences that highlight your passion and expertise in this area.
Tailor Your Experience: Make sure to customise your CV and cover letter to reflect the skills and experiences that align with the Senior AI-Enablement Engineer role. Highlight your 5+ years of experience and any relevant projects that showcase your product mindset.
Collaborative Spirit: We love teamwork! In your application, mention instances where you've successfully collaborated with product and engineering teams. This will show us that you’re a great fit for our collaborative environment.
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at OakNorth
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI. Be prepared to discuss how you've applied AI in your previous roles, especially in enhancing software development processes. This will show your passion and expertise in the field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with product and engineering teams, be ready to share examples of successful collaborations. Highlight how you’ve contributed to team projects and how you handle feedback and differing opinions.
✨Demonstrate a Product Mindset
Think about how your work impacts the end user. Prepare to discuss how you've approached product development with the user in mind, and be ready to suggest ways AI can improve user experience in financial applications.
✨Prepare for Rapid Experimentation Questions
Given the emphasis on rapid experimentation, come equipped with examples of how you've tested and iterated on ideas quickly. Discuss any failures and what you learned from them, as this shows resilience and a growth mindset.