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 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 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 Engineer (hybrid or remote) employer: Impala Search
Our client offers an exceptional work environment for Full Stack Engineers, combining the flexibility of hybrid or remote work with a dynamic and innovative culture. Employees benefit from opportunities for professional growth in the rapidly evolving AI sector, while contributing to meaningful projects that address critical challenges in data infrastructure. With a strong emphasis on collaboration and ownership, this company fosters a supportive atmosphere where your contributions directly impact the future of enterprise AI.
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 software 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
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 (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 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 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 GitHub contributions that demonstrate your skills in building full-stack applications. This not only shows your technical abilities but also your passion for coding and problem-solving.
✨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, especially in tackling challenges related to high-quality, rights-cleared data.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your debugging and optimisation skills. Think through some common scenarios you’ve encountered in past roles and how you resolved them, as this will highlight your ability to work in fast-moving teams.
