At a Glance
- Tasks: Build and maintain AI data infrastructure using Python, React, and cloud technologies.
- Company: Join a leading London-backed tech startup revolutionising AI data solutions.
- Benefits: Hybrid/remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and tackling complex engineering challenges.
- Why this job: Make a real impact in the AI space while owning projects from start to finish.
- Qualifications: Experience in full-stack development, especially with Python and modern JavaScript frameworks.
The predicted salary is between 50000 - 60000 £ 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.
- Take ownership of full engineering work streams from discovery through to deployment and monitoring.
- 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.
- 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.
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 Developer (Hybrid/Remote) employer: Impala Search
Join a pioneering company at the forefront of AI innovation, where you'll have the opportunity to work in a dynamic hybrid/remote environment that fosters creativity and collaboration. With a strong emphasis on employee growth, you will be encouraged to take ownership of projects and contribute to cutting-edge solutions while enjoying a supportive culture that values your input and development. Located in London, backed by a leading accelerator, this is an exciting chance to be part of a team tackling significant challenges in AI with high-quality, rights-cleared data infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer (Hybrid/Remote)
✨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 personal project or contribute to open-source work that showcases your full-stack capabilities. This not only boosts your portfolio but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and React skills. Practice coding challenges and system design questions to feel confident when it’s time to shine. Remember, we want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to the exciting work we’re doing in AI.
We think you need these skills to ace Full Stack Developer (Hybrid/Remote)
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 excited about this opportunity. Share your passion for AI and how your background in building data infrastructure aligns with our mission. Keep it personal and engaging!
Showcase Your Projects:Don’t forget to include links to your GitHub or any personal projects that demonstrate your coding skills. We love seeing what you’ve built and how you tackle challenges, so let your work speak for itself!
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 Python, React, and cloud infrastructure. Brush up on your knowledge of backend frameworks and frontend technologies, as you'll likely be asked to discuss your experience with them during the interview.
✨Showcase Your Projects
Bring along examples of your personal projects or contributions on GitHub. This is a great way to demonstrate your passion for coding and your ability to build full-stack applications, which is crucial for this role.
✨Understand the Company’s Mission
Familiarise yourself with the company’s focus on AI and data infrastructure. Be prepared to discuss how your skills can contribute to their mission of providing high-quality, rights-cleared data for enterprise-scale deployment.
✨Prepare for Problem-Solving Questions
Expect to tackle some technical challenges or debugging scenarios during the interview. Practice explaining your thought process clearly, as this will show your problem-solving abilities and how you approach complex engineering tasks.
