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.

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