Full Stack Engineer - Python (AI Platform)

Full Stack Engineer – AI Platform12-month contract - ExtendableImmediate/short notice availability would be advantageousRole OverviewWe 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 ResponsibilitiesDesign, 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 & ExperienceStrong 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 HaveExperience 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.