Jobs → Engineering → Full Stack Engineer

About the Role We're looking for a Full Stack Engineer with a strong data and AI focus to build intelligent applications. You'll combine full stack development with data pipelines and large language model integration, taking AI-powered features from prototype to reliable production systems. Key Responsibilities • Design and build full stack applications that integrate data pipelines and AI capabilities • Build data ingestion and transformation pipelines for structured and unstructured sources • Develop and integrate LLM-powered features, including retrieval-augmented generation, structured outputs and tool use • Design evaluation frameworks to measure and improve the accuracy and reliability of AI features • Design data models across relational, document or graph stores to suit the problem • Build APIs and services that expose data and AI capabilities to front end applications and other systems • Put guardrails, human review steps, logging and monitoring around AI functionality • Collaborate with product, design and domain experts to identify where automation and AI add the most value • Mentor engineers and contribute to technical standards for data and AI development Requirements • 7+ years of professional software development experience, including 3+ years in data-intensive or platform engineering • Strong proficiency in Python, plus TypeScript or another back end language • Hands-on experience building production features with large language models (e.g. OpenAI, Anthropic or Azure OpenAI APIs) • Experience with retrieval-augmented generation, vector search and prompt design • Experience building ETL or data pipelines and parsing a range of formats (CSV, JSON, XML, PDF, Office documents) • Solid SQL and data modelling skills; experience with a graph database is an asset • Experience with a major cloud platform, containers and CI/CD • Strong understanding of data privacy, security and responsible AI practices • Clear communicator, able to explain AI behaviour and limitations to non-technical stakeholders