At a Glance
- Tasks: Join a team developing AI-driven products and lead technical delivery on exciting projects.
- Company: Innovative tech company in Greater London with an inclusive workplace.
- Benefits: Enjoy unlimited annual leave, private healthcare, and a supportive work environment.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: Strong system architecture knowledge and experience with Python, TypeScript, and PostgreSQL.
The predicted salary is between 48000 - 72000 £ per year.
A technology company in Greater London is seeking a talented full-stack engineer to join their team focused on developing AI-driven products. The role involves collaborating with stakeholders, building scalable solutions using Python and TypeScript, and leading technical delivery on customer-facing projects.
Candidates should possess strong system architecture knowledge and experience with PostgreSQL and containerization.
The company offers an inclusive workplace and various benefits, including unlimited annual leave and private healthcare.
Senior Full-Stack AI Engineer - Decision Intelligence employer: Faculty
At Faculty, we pride ourselves on being an exceptional employer, particularly for the Head of Banking role, where you will lead transformative AI initiatives in a dynamic banking landscape. Our culture fosters innovation and collaboration, offering unlimited annual leave, private healthcare, and family-friendly flexibility to ensure a healthy work-life balance. With a strong commitment to employee growth through mentorship and coaching, we empower our team to thrive in a supportive environment that values diverse perspectives and encourages meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack AI Engineer - Decision Intelligence
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal introduction can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TypeScript, and AI-driven solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on system architecture and database management, particularly PostgreSQL. Practising coding challenges can also help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Full-Stack AI Engineer - Decision Intelligence
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, TypeScript, and PostgreSQL in your application. We want to see how your skills align 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 how your past experiences relate to developing AI-driven products and leading technical delivery. We love seeing candidates who take the time to connect their background with what we do!
Be Yourself:We value authenticity, so let your personality shine through in your application. Share your passion for technology and decision intelligence, and don’t be afraid to include any personal projects or interests that demonstrate your enthusiasm for the field.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Faculty
✨Know Your Tech Stack
Make sure you’re well-versed in Python, TypeScript, and PostgreSQL. Brush up on your knowledge of system architecture and containerization, as these will likely come up during the interview. Being able to discuss your past projects using these technologies will show that you’re not just familiar but also experienced.
✨Showcase Your Collaboration Skills
Since the role involves working with stakeholders, be prepared to discuss how you've successfully collaborated in previous roles. Share specific examples where your teamwork led to successful project outcomes. This will demonstrate that you can effectively communicate and work within a team environment.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI-driven products. Practice coding challenges or system design scenarios relevant to full-stack development. This will help you feel more confident and ready to tackle any technical queries thrown your way.
✨Emphasise Cultural Fit
The company values inclusivity, so make sure to express your alignment with their culture. Share experiences that highlight your adaptability and openness to diverse perspectives. This will help you connect with the interviewers and show that you’d be a great addition to their team.
