Role Overview :

We are looking for an experienced Python Developer with strong expertise in backend development, React.js, cloud platforms, and AI/ML technologies. The role involves building scalable applications, developing REST APIs and microservices, integrating AI capabilities, and deploying cloud-native solutions.

Key Responsibilities :

- Design, develop, and maintain scalable backend applications and services using Python.

- Build responsive and interactive user interfaces using React.js.

- Develop, integrate, and maintain RESTful APIs and microservices.

- Design and implement secure, scalable, and high-performance application architectures.

- Build and integrate AI/ML capabilities into applications to address business requirements.

- Explore and implement Generative AI capabilities, including LLM-based integrations.

- Develop and deploy applications on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

- Work with databases, data processing components, and external systems.

- Implement application testing, debugging, code reviews, and performance optimization.

- Collaborate with cross-functional engineering teams to translate business requirements into technical solutions.

- Support application deployment, monitoring, troubleshooting, and maintenance.

- Follow software engineering best practices for security, scalability, and maintainability.

- Contribute to CI/CD automation and continuous improvement.

Tech Stack & Requirements :

- 5 - 8 years of experience in Python development, backend engineering, or full-stack application development.

- Strong hands-on proficiency in Python.

- Experience building frontend applications using React.js.

- Strong understanding of REST APIs, microservices architecture, and application integration.

- Experience developing and deploying applications on AWS, Azure, or GCP.

- Good understanding of AI/ML concepts and experience integrating AI/ML functionality.

- Experience with databases, debugging, and application performance optimization.

- Excellent analytical, problem-solving, and troubleshooting skills.

- Good communication skills and the ability to collaborate effectively.

Good to Have :

- Hands-on exposure to Generative AI, Large Language Models (LLMs), prompt engineering, or AI APIs.

- Experience with Docker and Kubernetes.

- Knowledge of cloud-native application development and containerized deployments.

- Experience with CI/CD tools and automated deployment pipelines.

- Exposure to AI frameworks, model integration, or production AI application development.