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