At a Glance
- Tasks: Build modern data-driven applications that shape public policy decisions.
- Company: Leading tech consultancy in Greater London with a focus on AI economics.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real difference in public-sector decision-making while working with cutting-edge technology.
- Qualifications: 2-5 years in web development, strong skills in React, Next.js, and Python.
- Other info: Join a dynamic team committed to engineering excellence and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A technology consultancy in Greater London is seeking a Full-Stack Developer for its AI Economics Unit. The ideal candidate will have 2-5 years of experience in web application development, strong skills in React, Next.js, and Python.
This role involves building modern data-intensive applications that support policy advisory products. Ideal candidates are comfortable working in hybrid settings and have a strong commitment to engineering best practices. This position offers an opportunity to impact public-sector decision-making significantly.
Full-Stack AI Engineer for Policy Platforms (Hybrid) employer: Whiteshield
Contact Detail:
Whiteshield Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack AI Engineer for Policy Platforms (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI or policy platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with React, Next.js, and Python. This is your chance to demonstrate how you can build data-intensive applications that make a difference.
✨Tip Number 3
Prepare for interviews by brushing up on engineering best practices. Be ready to discuss how you’ve applied these in past projects, especially in hybrid work settings. It’ll show you’re the right fit for the team!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s the best way to ensure your application gets the attention it deserves.
We think you need these skills to ace Full-Stack AI Engineer for Policy Platforms (Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with React, Next.js, and Python in your application. We want to see how you've used these technologies in past projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with building data-intensive applications and supporting policy advisory products. It’ll make you stand out!
Keep It Professional Yet Personal: While we love a good professional tone, don’t be afraid to let your personality shine through. Share your passion for technology and how it can impact public-sector decision-making.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Whiteshield
✨Know Your Tech Stack
Make sure you brush up on your skills in React, Next.js, and Python. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the Policy Impact
Since this role involves supporting policy advisory products, take some time to research how technology influences public-sector decision-making. Being able to articulate this connection will show your genuine interest in the position.
✨Showcase Your Hybrid Work Skills
As the role is hybrid, be prepared to discuss your experience working in both remote and in-office settings. Highlight how you manage your time and collaborate effectively with teams in different locations.
✨Commit to Best Practices
Demonstrate your commitment to engineering best practices by discussing your approach to code quality, testing, and documentation. Share examples of how you've implemented these practices in past projects.