Tech Engineer–Mobile & Web Developer

Project Overview

We are looking for a hands‑on Technical Engineer to design, develop, and deploy mobile (iOS/Android) and web applications enhanced with AI-driven features. You will focus purely on the technical implementation—writing clean, maintainable code, integrating AI/ML components, and ensuring robust, scalable architectures.

Scope of Work

Solution Design & Architecture
Analyze functional requirements and propose detailed technical solutions for mobile and web platforms.
Define system architecture diagrams, data flows, and integration points for AI/ML components.
Hands‑On Development
Implement front‑end features using frameworks such as React, Angular, Vue.js, React Native, Flutter, Swift, or Kotlin.
Build back‑end services with technologies like Node.js/Express, Python (Django/Flask), Java/Spring Boot, or .NET Core.
Integrate AI APIs and libraries (e.g., TensorFlow, PyTorch, OpenAI GPT endpoints) into applications.
Code Quality & Testing
Write unit and integration tests to validate functionality and performance.
Conduct peer code reviews and maintain coding standards (linter rules, formatting).
Deployment & DevOps
Configure CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) for automated builds, tests, and deployments.
Containerize services with Docker and, if needed, orchestrate using Kubernetes.
Deploy applications to cloud platforms (AWS, GCP, or Azure) and manage environment configurations.
Documentation
Produce clear technical documentation: API specifications, setup instructions, and architecture overviews.
Maintain README files, inline comments, and environment variable guides.

Required Qualifications

Technical Experience (5+ years):
Delivered at least two production‑grade mobile apps (iOS/Android) and two responsive web applications.
Hands‑on integration of AI/ML features (chatbots, NLP, image recognition, recommendation systems).
Core Technical Skills:
Front‑end: React, Angular, Vue.js, React Native, Flutter, Swift, Kotlin.
Back‑end: Node.js/Express, Python/Django or Flask, Java/Spring Boot, .NET Core.
Databases: PostgreSQL, MySQL, MongoDB, Redis.
AI/ML Tools: TensorFlow, PyTorch, Scikit‑Learn, OpenAI (GPT‑3/4) or similar.
DevOps: Docker, Kubernetes, AWS/GCP/Azure, CI/CD (GitHub Actions, GitLab CI, Jenkins).
API Design: RESTful services, GraphQL.
Security: OAuth 2.0/JWT, encryption best practices.
Soft Skills:
Strong problem‑solving abilities and attention to detail.
Excellent written communication in English for clear documentation.
Self‑motivated and able to work independently with minimal supervision.
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