Info Origin - Python Developer - AI/ML Technologies

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.