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