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Tunga

4,1

21 - Female Full Stack Engineer – Angular, Node.js, PHP & AI/ML

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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

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4,1
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