<p><strong>Role Overview</strong></p><p>We are looking for a Full Stack Engineer to work across frontend, backend, APIs, databases, data workflows, and AI/ML-enabled features. You will help build and maintain systems that process data from raw inputs into structured, reviewed, and decision-ready insights.</p><p>We are actively seeking female candidates for this role.</p><p></p><p><strong>Key Responsibilities</strong></p><p><em>Full Stack Development</em></p><ul><li><p>Develop and maintain responsive frontend interfaces using Angular</p></li><li><p>Build reusable components, services, and modules supporting dashboards, review workflows, and partner-facing features</p></li><li><p>Design, build, and maintain backend services and RESTful APIs</p></li><li><p>Work with relational databases to support structured data storage, filtering, reporting, and analytics</p></li><li><p>Debug issues across frontend, backend, APIs, databases, background jobs, and deployment environments</p></li></ul><p><em>Data Workflows</em></p><ul><li><p>Build and improve workflows for ingesting and processing data from multiple input channels</p></li><li><p>Support data processing pipelines that transform raw submissions into structured records</p></li><li><p>Implement metadata capture, validation rules, status tracking, review queues, and audit trails</p></li><li><p>Support dashboards for viewing, filtering, analysing, and exporting data</p></li></ul><p><em>AI/ML Integration</em></p><ul><li><p>Integrate AI and machine learning outputs into workflows, including classification, tagging, summarisation, clustering, and signal detection</p></li><li><p>Support model inference pipelines through APIs, backend services, or batch processing</p></li><li><p>Work with confidence scores, model outputs, error handling, fallback rules, and human review processes</p></li><li><p>Support preparation of datasets for model fine-tuning — cleaning, labelling, formatting, and quality checks</p></li><li><p>Build human-in-the-loop workflows ensuring sensitive or uncertain AI outputs are reviewed before reaching end users</p></li></ul><p><strong>Qualifications</strong></p><ul><li><p>5+ years of professional full-stack development experience</p></li><li><p>Experience with Angular for frontend development</p></li><li><p>Experience with PHP and frameworks like Laravel or Symfony</p></li><li><p>Experience with Node.js for building APIs and microservices</p></li><li><p>Experience with AI/ML integration — model outputs, inference pipelines, or dataset preparation</p></li><li><p>Strong experience with relational databases (MySQL/PostgreSQL)</p></li><li><p>Experience building dashboards, admin tools, or data-driven web applications</p></li><li><p>Experience with Git</p></li><li><p>Knowledge of Docker, Kubernetes, or similar containerisation technologies is a plus</p></li><li><p>Experience with GIS, preferably Leaflet, is a plus</p></li></ul>
