Artificial Intelligence Engineer

Key Responsibilities:

APPLICATION DEVELOPMENT & DELIVERY

• Design, develop, test, deploy and maintain full stack application features across web, mobile, PWA, backend APIs and databases.
• Apply strong programming methodology, object-oriented design, reusable components, modular architecture, secure coding, performance awareness and maintainable development practices.

• Develop mobile application features using React Native, with Expo where applicable, including screens, reusable components, navigation, API integration, authentication flows and device-specific behaviour.
• Build Progressive Web Applications (PWA) using React JS / Type Script with responsive UI, installable app experience, offline-ready behaviour, service workers and performance optimization where required.
• Use AI-assisted coding tools to accelerate React Native, PWA and React JS development while reviewing and validating all generated code; use Expo where applicable to the mobile application stack.
• Work closely with UX/UI and product teams to deliver user-friendly, performant and maintainable web and mobile application experiences.

• Develop and maintain backend services, business logic and REST APIs using .NET / .NET Core, C# and related frameworks.
• Integrate applications with internal and external systems using secure and well-documented APIs.
• Work with relational databases such as SQL Server, including basic database design, queries, stored procedures and performance troubleshooting.

• Use AI-assisted coding tools such as VS Code, Cursor, Windsurf, Git Hub Copilot, Claude Code, Aider or similar tools to improve development speed and quality.
• Break requirements into clear development tasks, prepare effective prompts, review AI-generated code and refine outputs until they meet coding standards.
• Use AI tools for practical development work such as code generation, debugging, refactoring, unit test creation, API integration support and technical documentation.
• Validate all AI-assisted outputs through testing, code review, security checks and engineering judgement before delivery.

• Design and build practical AI-enabled application features such as AI chatbots, AI assistants, RAG-based knowledge search, AI-powered workflows and model-driven business features.
• Integrate AI services and APIs such as Azure OpenAI, Azure AI Foundry, OpenAI API, Anthropic API or similar platforms with application workflows, backend APIs and enterprise data sources.
• Apply practical AI concepts including prompt engineering, RAG, embeddings, vector search, function calling and AI output validation.

• Perform unit testing, integration testing and basic regression testing before handing over features for release.
• Debug production and non-production issues, identify root causes and implement permanent fixes.
• Follow secure coding, performance optimization and source control practices.

• Collaborate closely with product, design and engineering teammates - sharing ideas, reviewing each other's work and communicating clearly.

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology or a related field.
• Total 5 years of hands‑on professional experience in software development / application programming.
• Practical experience building mobile applications using React Native and/or responsive web/PWA applications using React JS / Type Script.
• Strong understanding of programming fundamentals, object-oriented programming, debugging, reusable code, modular design, secure coding and maintainable development practices.
• Practical experience building or integrating AI-enabled application features,…