At a Glance
- Tasks: Build and own production-grade Python services for AI-driven products.
- Company: Global AI-first product studio with a diverse client portfolio.
- Benefits: Autonomy in your role, backed by a stable company with global reach.
- Other info: Fast-paced environment with opportunities for significant impact.
- Why this job: Join as a founding member and shape the London engineering culture.
- Qualifications: 4+ years of experience in Python APIs and database optimisation.
The predicted salary is between 60000 - 80000 € per year.
Location: London, UK
Company Description: Global AI-first product studio with a portfolio of 80+ enterprise and government clients.
Salary: Not Disclosed
As one of the first London-based engineers, you will build and own production-grade Python services for AI-driven products. You will design scalable APIs, optimize Postgres data layers, and lead architectural decisions. This role offers genuine end-to-end ownership, from initial specification to production monitoring, within a high-momentum team expanding its UK presence.
Why this role is remarkable:
- Join as a founding member of the London engineering hub with direct influence over team culture and technical standards.
- Experience the autonomy of an early-stage hire backed by the stability of a company with revenue and a massive global client base including Tata.
- Move fast with a high-performance team that prioritises shipping code to real users over bureaucratic red tape.
What You Will Do:
- Architect and maintain high-performance Backend services using Python (FastAPI), Postgres, and Redis.
- Own the entire product lifecycle from initial system design through to AWS deployment and production reliability.
- Work directly with the founding team to translate complex requirements into scalable, AI-driven technical solutions.
The Ideal Candidate:
- Possesses 4+ years of experience building production APIs in Python with a focus on FastAPI, Django, or similar frameworks.
- Demonstrates mastery of SQL and schema design, with a proven track record of optimizing database performance at scale.
- Shows a strong sense of ownership and experience managing production environments using AWS, Docker, or Kubernetes.
Backend Engineer at Global AI-first product studio expanding to London employer: Jack & Jill
As a pioneering Backend Engineer at our Global AI-first product studio in London, you will be part of an innovative team that values autonomy and creativity. We offer a dynamic work culture where your contributions directly shape the team's ethos and technical direction, alongside opportunities for professional growth within a stable yet fast-paced environment. Join us to leverage your skills in a role that combines the excitement of a start-up with the backing of a well-established global client base.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Engineer at Global AI-first product studio expanding to London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We can’t stress enough how personal connections can give you the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and system design principles. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it’s on GitHub or your personal website, having a portfolio of your work can really set you apart. We love seeing practical examples of your coding skills and problem-solving abilities.
✨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’re always looking for passionate candidates who are eager to join our growing team.
We think you need these skills to ace Backend Engineer at Global AI-first product studio expanding to London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Backend Engineer role. Highlight your experience with Python, FastAPI, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI-driven products and why you’re excited about joining our London hub. Let us know how your background aligns with our mission and values.
Showcase Your Projects:If you’ve got any personal or professional projects that demonstrate your backend skills, don’t hold back! Include links or descriptions in your application. We love seeing what you can do beyond just your job titles.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in Python, FastAPI, and Postgres. Brush up on your knowledge of building production APIs and be ready to discuss your past projects. Highlight specific challenges you faced and how you overcame them.
✨Showcase Your Ownership Mindset
This role is all about end-to-end ownership, so come prepared with examples that demonstrate your ability to manage the entire product lifecycle. Talk about times when you took initiative and how it positively impacted your team or project.
✨Understand the Company Culture
Research the company’s values and mission. Since they’re looking for someone to influence team culture, think about how your personal values align with theirs. Be ready to discuss how you can contribute to a high-performance environment.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Prepare for questions on SQL optimisation, AWS deployment, and architectural decisions. Practise explaining complex concepts in a simple way, as you’ll need to translate requirements into scalable solutions.
