AI Engineer

Mid-Level AI Engineer | AI-Driven Digital Transformation Salary: Up to £75,000 plus benefits Technology: Python, Microservices, CI/CD, AI/ML, LLM or RAG Location: Hybrid / London (onsite twice a week) Multiple Vacancies An innovative, fast-growing company transforming digital client experiences through intelligent technology is seeking a number of Mid-Level AI Engineers to join a newly-formed and growing engineering team. This is a great opportunity to contribute to greenfield projects that apply modern development practices and AI technologies to solve real-world problems. As a Mid-Level AI Engineer, you’ll be involved in designing and developing intelligent backend systems, contributing to the delivery of scalable, high-performance software. Working within a cross-functional team, you’ll apply your technical skills and growing expertise in AI to build practical, production-ready solutions. Key Skills & Experience: Strong Python programming skills with backend development experience Interest or hands-on exposure to AI/ML concepts, particularly LLMs and Retrieval-Augmented Generation (RAG) Experience working with AWS or similar cloud platforms Understanding of microservices architecture and distributed systems Familiarity with container tools such as Docker and Kubernetes Experience with CI/CD tools and building automated pipelines Ability to write maintainable, testable code and work across the full development lifecycle What's in it for you? Greenfield Projects – Help shape new systems from the ground up Modern Tech Stack – Work with Python, AI, Microservices, and cloud-based infrastructure Real Impact – Contribute to solutions that improve customer journeys Career Development – Grow into senior-level responsibilities with mentorship and support Flexible Working – Hybrid model with only 2 days per week in the office Competitive Salary – Up to £75,000 plus company benefits This role is ideal for a proactive, technically curious engineer ready to deepen their AI expertise and build impactful systems in a dynamic, mission-led environment. Due to the volume of applications, we may not be able to respond to every submission.