At a Glance
- Tasks: Build and scale AI data infrastructure using Python, React, and cloud technologies.
- Company: Innovative startup tackling AI challenges with a dynamic team.
- Benefits: Competitive salary, flexible work environment, and opportunities for personal growth.
- Other info: Autonomous work culture with excellent career advancement potential.
- Why this job: Join a mission-driven team and make a real impact in the AI space.
- Qualifications: Experience in full-stack development and a passion for tech innovation.
The predicted salary is between 45000 - 55000 £ per year.
Our client is building one of the missing layers powering the next generation of AI, creating licensed, human-generated training data used across multimodal systems spanning audio, speech, video, and structured content. Backed by a leading London accelerator, they’re tackling one of the biggest challenges in AI today: high-quality, rights-cleared data infrastructure for enterprise-scale deployment.
You’ll join as a Mid-Level Fullstack Software Engineer, helping scale AI data infrastructure used in high-growth enterprise environments while working across Python, React, cloud infrastructure, and distributed systems.
Key Responsibilities- Take ownership of full engineering work streams from discovery through to deployment and monitoring.
- Translate loosely defined product or operational requirements into scalable technical solutions.
- Build and maintain backend services alongside modern frontend interfaces.
- Contribute to debugging, optimisation, testing, and production reliability across the stack.
- Work closely with leadership and engineers to improve delivery velocity and engineering quality.
- Proactively identify technical improvements, product opportunities, and scaling challenges.
- Support the evolution of internal engineering processes as the company continues rapid growth.
- Collaborate within a highly autonomous environment where engineers are trusted to drive execution.
- Commercial experience building full-stack applications within startup or scale-up environments.
- Strong backend development capabilities using Python based web frameworks.
- Frontend development experience with modern JavaScript frameworks, ideally React or similar.
- Comfortable shipping production software in fast-moving, low-process teams.
- Experience working across cloud infrastructure and deployment environments is highly beneficial.
- Exposure to infrastructure tooling, monitoring, CI/CD, or production operations is advantageous.
- Familiarity with data-intensive systems, data pipelines, or AI-adjacent products is a strong plus.
- Demonstrated passion for building through personal projects, GitHub contributions, or side work.
- Comfortable operating with ambiguity, ownership, and a high degree of autonomy.
If you’re excited by the idea of helping build the infrastructure layer behind enterprise AI, solving complex data engineering challenges at scale while owning projects end-to-end in a high-growth engineering team, we’d love to hear from you.
Full Stack Engineer employer: Impala Search
Join a pioneering company at the forefront of AI innovation, where as a Full Stack Engineer, you'll be empowered to take ownership of your projects in a dynamic and collaborative environment. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work with cutting-edge technologies while contributing to meaningful solutions that impact enterprise-scale deployments. Located in London, this role offers the unique advantage of being part of a vibrant tech community backed by a leading accelerator, fostering a culture of creativity and autonomy.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, or cloud infrastructure. This gives you a chance to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding system design. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨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 Full Stack Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your full-stack development experience, especially with Python and React, to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your background aligns with our mission. Share specific examples of projects you've worked on that demonstrate your capabilities in building scalable applications.
Showcase Your Projects:Don’t forget to include links to your GitHub or any personal projects that showcase your skills. We love seeing what you’ve built and how you approach problem-solving in real-world scenarios.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Impala Search
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and React. Brush up on your knowledge of cloud infrastructure and distributed systems, as these will likely come up during technical discussions.
✨Showcase Your Projects
Bring examples of your past work, especially any personal projects or contributions to GitHub. This not only demonstrates your skills but also shows your passion for building and problem-solving in real-world scenarios.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to translate loosely defined requirements into scalable solutions. Practice explaining your thought process clearly, as this will highlight your analytical skills and how you approach challenges.
✨Emphasise Collaboration and Autonomy
Be ready to discuss how you’ve worked in autonomous environments before. Share examples of how you’ve taken ownership of projects and collaborated with teams to improve delivery velocity and engineering quality.
