Responsibilities

The ideal candidate will be responsible for designing, developing, integrating and maintaining scalable web applications while leveraging Generative AI, AI-coding assistants and modern developer productivity tools to accelerate software delivery and improve engineering quality.

The role requires someone who can work across the full development lifecycle-from requirements analysis and solution design through development, testing, deployment and production support.

Key Responsibilities

Design and develop scalable, secure and high-performance web applications using React.js and Python.

Build reusable, maintainable and well-tested frontend components usingReact.js.
Develop backend services, REST APIs and microservices using Python frameworkssuch as FastAPI, Flask or Django.
Design and integrate APIs between frontend, backend and external systems.
Work with relational and NoSQL databases and optimize application performance.
Implement authentication, authorization, logging, monitoring and errorhandling.
Participate in code reviews and ensure adherence to engineering standards.

AI-Enabled Development

Use Generative AI and AI-powered development tools such as GitHub Copilot,Claude, ChatGPT or equivalent tools to improve development productivity.
Apply AI-assisted coding for code generation, refactoring, debugging, testgeneration and documentation.
Use AI tools effectively across the SDLC while maintaining code quality,security and maintainability.
Explore and implement AI-powered features within applications where appropriate.
Develop integrations with LLMs and AI APIs such as OpenAI, Anthropic or equivalent platforms.
Experience with prompt engineering, Retrieval-Augmented Generation (RAG),embeddings and vector databases will be an advantage.
Evaluate AI-generated code and ensure appropriate human review, testing and security validation.

Engineering & Delivery

Translate business requirements into technical solutions and deliver production-ready applications.
Work closely with Product Owners, Business Analysts, Architects, QA engineersand DevOps teams.
Develop automated unit, integration and API tests.
Troubleshoot production issues and perform root-cause analysis.
Contribute to CI/CD pipelines and cloud-based deployments.
Follow Agile/Scrum development practices.
Ensure solutions comply with organizational security, architecture and codingstandards.

Required Technical Skills

7-10 years of software development experience, with strong hands-on experiencein React.js and Python.

Frontend

Strong hands-on experience with React.js
JavaScript / TypeScript
HTML5 / CSS3
React Hooks, state management and component architecture
REST API integration
Responsive web application development

Backend

Strong hands-on experience with Python
FastAPI / Flask / Django
RESTful API and microservice development
Authentication and authorization
API security and performance optimization

AI & GenAI

Experience using AI-assisted development tools
GitHub Copilot / Claude / ChatGPT or equivalent
Understanding of LLM concepts and AI APIs
Prompt engineering
RAG and embeddings
Vector databases such as Pinecone, Azure AI Search, Weaviate or equivalent
Experience integrating AI capabilities into enterprise applications is highlydesirable

SOFTWARE DEVELOPER