Full Stack Developer (AI & Machine Learning

Job description

Key Responsibilities

Technical Development & Mentoring

Web Application Development: Build modern, scalable web applications for our retail operations

API Development & Integration: Design and implement REST/GraphQL APIs for platform integration with ERP (Microsoft Navision), WMS, TMS, consignment and POS systems

Dashboard & UI Implementation: Create responsive dashboards and reporting interfaces for business intelligence

Business Logic & Workflow Engines: Implement complex business rules and automated workflow systems

Code Review & Mentoring: Guide and mentor junior engineers while maintaining high coding standards

Platform Development

Lead development of AI-powered analytics platforms and business intelligence systems

Build enterprise applications with enhanced reliability and flexible pricing strategies

Implement system integration projects across multiple enterprise platforms

Develop customer intelligence platforms and workflow automation systems

Collaboration & Innovation

Work closely with Solutions Architect on system architecture and technical decisions

Collaborate with Project Manager to provide effective solutions to end users

Partner with Data Engineer to implement data-driven functionalities

Contribute to technology stack selection and development best practices

Essential Requirements

Education

Diploma, Bachelor's or Master's Degree in Software Engineering, Computer Science, Information Technology, or a related field

Technical Skills

3-5+ years of full-stack development experience in enterprise environments with end-to-end web application development

AI Coding Proficiency: Expert proficiency in using AI coding tools and agents (GitHub Copilot, ChatGPT, Claude, Gemini and other AI-assisted development platforms)

Frontend Expertise: Proficient in React/Vue.js, TypeScript, and modern JavaScript

Backend Proficiency: Strong experience with Node.js/Python/Java and API development

Database Skills: Advanced knowledge of PostgreSQL, MongoDB, and database design

Cloud & DevOps: Experience with cloud services (AWS/Azure/GCP) and containerization (Docker, Kubernetes)

Data & Analytics Focus

Data Analytics & BI Development: Experience building data-driven applications and business intelligence solutions

Data Pipeline Integration: Knowledge of ETL processes and data warehouse connectivity Reporting Systems: Experience with dashboard development and real-time reporting

API & Microservices: Strong background in designing scalable, maintainable API architectures

Soft Skills & Experience

Analytical & Problem-Solving: Strong analytical skills, system thinking, and creative approach to complex problem-solving

Communication: Excellent verbal and written communication skills for cross-functional collaboration

Agile Development: Experience with Scrum/Kanban methodologies and iterative development

Mentoring: Demonstrated ability to guide and mentor junior engineers

Business Acumen: Understanding of retail/manufacturing business processes (preferred)

Preferred Qualifications

The following qualifications are not mandatory but would be advantageous: Technical Advantages

Domain Experience: Previous experience in retail/e-commerce platforms, inventory management systems, supply chain solutions, financial reporting systems, or customer intelligence platforms

Knowledge of AI/ML integration in web applications

Mobile app development experience (React Native/Flutter)

Familiarity with RPA tools and process automation

Experience with Microsoft ERP systems (Navision, Business Central) or similar enterprise solutions

Industry Experience

End-to-End Application Development: Demonstrated experience building complete web applications from conception to deployment in domains such as:

Data analytics and business intelligence platforms

Inventory planning and supply chain management systems

Financial reporting and reconciliation systems

Customer intelligence and CRM platforms

Enterprise helpdesk and workflow automation systems

Understanding of enterprise system integrations and API development