Full Stack Engineer - Python (AI Platform)

Full Stack Engineer – AI Platform • 12-month contract - Extendable • Immediate/short notice availability would be advantageous Role Overview We are looking for an experienced Full Stack Engineer to join a technology team working on AI and data-driven platforms . The successful candidate will be responsible for developing scalable applications and data solutions, working across backend, cloud, data engineering and AI/ML capabilities. Key Responsibilities • Design, develop and maintain full-stack applications and scalable backend services. • Develop robust solutions using Python and modern software engineering practices. • Work with AWS cloud services to build, deploy and support cloud-based applications. • Develop and optimise SQL queries and work with large-scale datasets. • Work with Apache Spark / PySpark for large-scale data processing and transformation. • Collaborate with data scientists and AI/ML teams to integrate machine learning and AI capabilities into applications. • Contribute to projects involving LLM / Generative AI technologies. • Participate in system design, development, testing, deployment and ongoing optimisation. • Troubleshoot technical issues and ensure the reliability, scalability and performance of applications. • Work closely with cross-functional teams to understand requirements and deliver high-quality solutions. Required Skills & Experience • Strong hands-on experience in Python development . • Solid experience in AWS and cloud-based application development. • Strong knowledge of SQL and relational databases. • Hands-on experience with Apache Spark / PySpark . • Experience working with data engineering, ML or AI-related projects . • Good understanding of software development lifecycle and engineering best practices. • Strong problem-solving and analytical skills. • Ability to work effectively in a collaborative, fast-paced environment. Good to Have • Experience with Databricks . • Exposure to Machine Learning solutions and frameworks. • Experience working with LLMs / Generative AI . • Experience building or integrating AI/ML platforms . • Familiarity with modern DevOps, CI/CD and cloud deployment practices.