At a Glance
- Tasks: Build and maintain AI data infrastructure using Python, React, and cloud technologies.
- Company: Join a leading London-backed tech company revolutionising AI data solutions.
- Benefits: Flexible hybrid or remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic startup environment with a focus on innovation and collaboration.
- 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 Engineer (hybrid or 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 or remote environment. With a strong focus on employee growth and a collaborative culture, we offer competitive benefits and the chance to take ownership of impactful projects that shape the future of data infrastructure. Our commitment to fostering a supportive atmosphere ensures that you can thrive while tackling complex challenges alongside passionate professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer (hybrid or 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 practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills, and don’t forget to brush up on Python and React specifics!
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate engineers who want to make an impact in AI. 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 Engineer (hybrid or 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 passionate about AI and how your background aligns with our mission. Share specific examples of your work in cloud infrastructure or data-intensive systems to grab our attention.
Showcase Your Projects:Don’t forget to include links to your GitHub or any personal projects that demonstrate your coding skills and passion for building. We love seeing what you’ve created and how you tackle challenges!
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 personal projects or contributions to GitHub that demonstrate your full-stack capabilities. This not only shows your passion but also gives you a chance to discuss your hands-on experience with real-world applications.
✨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 goals, particularly in creating high-quality, rights-cleared data for enterprise-scale deployment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your debugging and optimisation skills. Think through some common challenges you’ve faced in previous roles and be ready to explain how you approached and resolved them, especially in fast-paced environments.
