At a Glance
- Tasks: Join a team building AI data infrastructure and take ownership of full engineering work streams.
- Company: Innovative startup backed by a leading London accelerator, focused on AI solutions.
- Benefits: Flexible part-time hours, competitive pay, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in the AI space while working with cutting-edge technologies.
- Qualifications: Experience in full-stack development, especially with Python and React.
The predicted salary is between 30000 - 40000 £ 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 - PART TIME employer: Impala Search
Join a dynamic and innovative team that is at the forefront of AI technology, where your contributions as a Full Stack Developer will directly impact the development of high-quality, rights-cleared data infrastructure. Enjoy a flexible part-time role that fosters a collaborative work culture, encourages personal growth through hands-on experience, and offers unique opportunities to work with cutting-edge technologies in a supportive startup environment backed by a leading London accelerator.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Developer - PART TIME
✨Tip Number 1
Network like a pro! Reach out to folks 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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Python, React, or cloud infrastructure. This is your chance to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate developers like you. Tailor your application to highlight your experience with full-stack development and any relevant AI projects you've worked on.
We think you need these skills to ace Full Stack Developer - PART TIME
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 and React, as these are key for the role. Brush up on your knowledge of cloud infrastructure and distributed systems, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Projects
Bring along examples of your personal projects or GitHub contributions 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 mission of providing high-quality, rights-cleared data for enterprise-scale deployment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, engineering practices, and the challenges they face in scaling their AI data infrastructure. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
