Full Stack Engineer

Fullstack React/Python Engineer – AI Focus Location: London – 4 days a week in the office Job Type: Full-Time We’re currently partnered with an AI-powered technology company delivering cutting-edge infrastructure solutions for professionals. Our platform enables businesses to streamline operations, automate workflows, and harness the power of artificial intelligence to tackle complex challenges. As they continue to scale, the team are looking for a talented 3 Fullstack Engineers (React/Python) to join the growing team and contribute to the development of intelligent, scalable digital products. Key Responsibilities: Design, build, and maintain scalable fullstack web applications using React on the frontend and Python (Django/FastAPI/Flask) on the backend. Collaborate closely with data scientists, ML engineers, and product managers to integrate AI-driven features into the platform. Develop and maintain RESTful APIs and backend services to support core infrastructure and AI tools. Build and enhance dynamic frontend interfaces that deliver real-time insights and data visualisations. Work with large datasets and real-time data processing systems. Optimise code and system architecture for performance, scalability, and reliability. Troubleshoot, debug, and resolve complex technical challenges across the stack. Write clean, modular, well-tested code following modern best practices. Requirements: 3 years of professional experience as a Fullstack Engineer or similar role. Strong hands-on experience with React and modern JavaScript (ES6) or TypeScript. Proficiency in Python , ideally with experience in web frameworks such as Django, FastAPI, or Flask. Strong understanding of API design, microservices, and web architecture. Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB). Comfortable working with cloud services like AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, or other containerisation technologies. Version control experience with Git. Solid grasp of web security principles and performance optimisation. Preferred Skills: Experience integrating AI/ML models or tools into production applications. Exposure to real-time systems, messaging queues (e.g., Kafka, RabbitMQ), or event-driven architectures. Knowledge of data pipelines, analytics tooling, or large-scale data processing. Interest in cloud-native and serverless architectures. Familiarity with tools such as TensorFlow, PyTorch, or LangChain is a plus.