At a Glance
- Tasks: Build and maintain AI data infrastructure using Python, React, and cloud technologies.
- Company: Innovative startup tackling AI challenges with a collaborative culture.
- Benefits: Hybrid/remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with ownership of projects from start to finish.
- Why this job: Join a high-growth team and make a real impact in the AI space.
- 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.
Requirements:
- 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 Working 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. Benefit from competitive compensation, flexible working arrangements, and the chance to make a significant impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer Hybrid/Remote Working
✨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 coding skills and understanding the latest trends in Python and React. Practice common algorithms and system design questions to feel confident when it’s time to shine.
✨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 Hybrid/Remote Working
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 our team.
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 startup environments to demonstrate your adaptability and problem-solving skills.
Showcase Your Projects:Don’t forget to include links to your GitHub or any personal projects that showcase your coding skills. We love seeing what you’ve built and how you approach 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 are crucial for the role.
✨Showcase Your Projects
Bring along examples of your personal projects or contributions on 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.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your debugging and optimisation skills. Be ready to walk through your thought process on how you would tackle specific challenges related to data-intensive systems or production reliability.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI data infrastructure and their engineering practices. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
