AI Engineering Lead

Department: IT Development
Reports To: AI Engineering Lead

Position Summary

The AI Engineer is responsible for designing, developing, and deploying AI-powered applications and systems that integrate with Android, iOS, and web platforms. The role involves working on applied machine learning, automation, and intelligent features that enhance customer experience and operational efficiency. The ideal candidate should have strong expertise in mobile development, backend engineering (Python), and web technologies, along with hands-on experience in building, testing, and scaling AI-driven solutions.

Duties & Responsibilities

• Design, build, and maintain AI-driven features for mobile (Android/iOS) and web platforms

• Collaborate with cross-functional teams (mobile, backend, product) to integrate AI capabilities such as recommendation engines, chatbots, fraud detection models, and personalization systems

• Develop machine learning models, perform data preprocessing, and deploy production-ready models using Python frameworks (TensorFlow, PyTorch, Scikit-learn)

• Write clean, modular, and scalable code using engineering best practices (SOLID principles, Clean Architecture)

• Build and manage APIs and microservices for AI functionality using Flask, FastAPI, or Node.js

• Work closely with UX/UI and product teams to convert insights into intelligent user experiences

• Conduct model performance optimization, A/B testing, and evaluation for real-world accuracy and reliability

• Integrate AI systems with cloud infrastructure (AWS, GCP, or Azure) ensuring compliance, governance, and security standards

• Participate in code reviews, peer-learning sessions, and agile ceremonies such as scrums and sprint reviews

• Stay updated with emerging AI, ML, GenAI, and automation trends to propose innovative solutions

• Demonstrate Behaviors — Be Respectful, Keep Promises, Always Explore, Create Together — in daily work practices

Direct Reports

• None

Role Relationships

Internal

• IT Development

• Information Security

• Operations

• Internal Audit

External

• Vendors

Knowledge & Experience

Education

• BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field

Experience

• 3+ years of software development experience

• Proven experience in AI/ML projects

• Hands-on experience with mobile development (Android/iOS), Python engineering, and web technologies

Competencies

AI / ML

• Flowise, PyTorch, OpenAI APIs, N8N

• Machine Learning & Applied AI development

• Data preprocessing, model training, deployment

Programming

• Python

• Swift / Kotlin

• JavaScript / TypeScript

Cloud & DevOps

• AWS / GCP

• Docker, CI/CD pipelines

Version Control

• Git

Data Engineering

• Pandas, NumPy, SQL

• ETL processes & data pipelines

Mobile & Web Development

• Android Studio

• Xcode

• React / Next.js

• Flutter (optional)

API & Backend

• REST, GraphQL

• Flask / FastAPI

• Node.js

Security & Compliance

• Secure coding standards

• Data privacy and compliance frameworks

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