At a Glance
- Tasks: Build secure, scalable backend infrastructure and maintain data pipelines.
- Company: Join a high-growth AI startup revolutionising the legal industry with innovative technology.
- Benefits: Earn up to £150,000 plus equity, with full visa sponsorship and relocation support.
- Why this job: Work in a high-autonomy environment on cutting-edge AI products that make a real impact.
- Qualifications: 3+ years as a backend or full-stack engineer with strong Python and PostgreSQL skills.
- Other info: Exciting opportunity to shape product direction and collaborate directly with users.
The predicted salary is between 108000 - 180000 £ per year.
A high-growth AI startup is redefining one of the world’s most complex industries with cutting-edge generative models and large-scale data systems. They’re hiring a backend-leaning full-stack engineer to build the infrastructure powering novel, AI-driven workflows, from scratch.
What’s on offer:
- Up to £150,000 salary + equity
- Full visa sponsorship + generous relocation support
- Greenfield AI product work in a high-autonomy environment
What you’ll be doing:
- Architect secure, scalable backend infrastructure
- Build and maintain data pipelines, microservices, and DevOps tooling
- Work across the stack to deliver fast, end-to-end product iterations
- Collaborate directly with users to shape product and engineering direction
Tech environment: Python, PostgreSQL, AWS, Docker, Microservices, CI/CD pipelines, Secure system design
You bring:
- 3+ years’ experience as a backend or full-stack engineer
- Strong proficiency in Python and relational databases (PostgreSQL)
- Experience building distributed systems or data platforms
- Bonus: hands-on with AWS, Docker, CI/CD tooling
Excited to build the backbone of next-gen AI products - and ship fast? Apply now!
Full Stack Engineer - Backend leaning employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer - Backend leaning
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python and PostgreSQL. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Network with professionals in the AI and LegalTech sectors. Attend meetups or webinars where you can connect with people already working in similar roles. This could lead to valuable insights and potentially even referrals.
✨Tip Number 3
Prepare to discuss your experience with distributed systems and data platforms during interviews. Be ready to share specific examples of projects you've worked on that demonstrate your ability to architect scalable backend infrastructure.
✨Tip Number 4
Show your enthusiasm for the role by staying updated on trends in AI and LegalTech. Being able to discuss recent advancements or challenges in the industry can set you apart and show your genuine interest in the position.
We think you need these skills to ace Full Stack Engineer - Backend leaning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a backend or full-stack engineer, particularly focusing on your proficiency in Python and PostgreSQL. Include specific projects where you've built distributed systems or data platforms.
Craft a Compelling Cover Letter: In your cover letter, express your excitement about working in AI and LegalTech. Mention how your skills align with the job requirements, especially your experience with microservices and DevOps tooling.
Showcase Relevant Projects: If you have worked on any relevant projects, either professionally or personally, be sure to include them in your application. Highlight your role, the technologies used, and the impact of the project.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a technical role.
How to prepare for a job interview at Arrows
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and PostgreSQL in detail. Bring examples of projects where you've built backend infrastructure or worked with data pipelines, as this will demonstrate your technical proficiency.
✨Understand the Company’s Vision
Research the AI startup's mission and how they are redefining the legal tech industry. Being able to articulate how your skills align with their goals will show your genuine interest in the role and the company.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems related to distributed systems and microservices, as well as system design questions that reflect the company's focus on secure and scalable solutions.
✨Demonstrate Collaboration Skills
Since the role involves working directly with users to shape product direction, be ready to discuss your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to deliver successful projects.