Backend Engineer (AI SaaS) Fresher Job (Remote)

Job Description

About the job: Key responsibilities: 1. Design and develop scalable backend systems and APIs for our AI-powered SaaS platform using Python and Node.js 2. Build and maintain cloud infrastructure on AWS, including configuration and management of S3, DynamoDB, SNS, EC2, and CloudWatch services 3. Implement and optimize data processing pipelines for machine learning model deployment and integration 4. Collaborate with data scientists to integrate AI models into production systems and ensure efficient model serving 5. Deploy and monitor applications using DevOps practices and LLMOps for large language model implementations 6. Create robust API endpoints that connect our frontend applications with AI functionalities 7. Design and implement efficient database schemas and queries optimized for AI applications 8. Develop and maintain secure authentication and authorization systems for our platform 9. Write clean, maintainable, and well-tested code following best practices 10. Troubleshoot and resolve complex technical issues in production environments Additional candidate preferences: 1. Computer Science or related Engineering degree preferred 2. Experience with containerization technologies like Docker 3. Familiarity with AI model serving platforms Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 3,10,000 - 4,60,000 /year Experience: 0 year(s) Deadline: 2025-06-16 23:59:59 Other perks: 5 days a week Skills required: Python, Node.js, Artificial intelligence, DevOps, Amazon EC2, Amazon S3, Amazon CloudWatch, Amazon SNS, Amazon DynamoDB and LLMOps Other Requirements: 1. Computer Science or related Engineering degree preferred 2. Experience with containerization technologies like Docker 3. Familiarity with AI model serving platforms and ML workflows About Company: Smartify is a marketplace for automation companies and also India's leading home automation store. We are trying to reduce the knowledge-execution gap and encourage early-adopters in the IoT space to launch their products and get to the mainstream market.