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: Remote work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment focused on innovation and career advancement.
- 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 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.
- 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 (remote or hybrid) employer: Impala Search
Join a pioneering company at the forefront of AI innovation, where you'll have the opportunity to work remotely or in a hybrid setting. With a strong emphasis on employee growth and a collaborative work culture, this role offers you the chance to take ownership of impactful projects while contributing to a mission that addresses critical challenges in data infrastructure. Enjoy the benefits of flexible working arrangements, a supportive team environment, and the potential for professional development in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer (remote or hybrid)
✨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 ensure you're ready to impress when it comes to demonstrating your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate developers like you. Tailor your application to highlight your experience with cloud infrastructure and data-intensive systems to stand out.
We think you need these skills to ace Full Stack Developer (remote or hybrid)
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 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
Be ready to discuss your personal projects or contributions on GitHub. This is a great way to demonstrate your passion for full-stack development and your ability to tackle real-world problems, especially those related to AI and data engineering.
✨Understand the Company’s Mission
Research the company’s goals and challenges in the AI space. Understanding their focus on high-quality, rights-cleared data infrastructure will help you align your answers with their mission and show that you’re genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills and how you approach debugging and optimisation. Think of examples from your past experiences where you successfully improved delivery velocity or engineering quality, and be ready to share those stories.
