About the Internship
Selected intern's day-to-day responsibilities include:1. Assist in designing, developing, and maintaining Python applications focused on backend and AI/ML components under senior engineer guidance.
2. Help build and consume RESTful or GraphQL APIs integrating AI models and backend services, following established best practices.
3. Containerize microservices (including AI workloads) using Docker and support Kubernetes deployment and management tasks.
4. Implement and monitor background jobs with Celery (e.g., data processing, model training/inference), including retries and basic alerting.
5. Integrate third-party services and AI tools via webhooks and APIs (e.g., Stripe, Razorpay, external AI providers) in collaboration with the team.
6. Set up simple WebSocket consumers using Django Channels for real-time AI-driven and backend features.
7. Aid in configuring AWS cloud infrastructure (EC2, S3, RDS) as code, assist with backups, monitoring via CloudWatch, and support AI workload deployments.
8. Write unit and integration tests using pytest or unittest to maintain ≥ 80% coverage across backend and AI codebases.
9. Follow Git branching strategies and contribute to CI/CD pipeline maintenance and automation for backend and AI services.
10. Participate actively in daily tech talks, knowledge-sharing sessions, code reviews, and team collaboration focused on backend and AI development.
11. Assist with implementing AI agent workflows and document retrieval pipelines using LangChain and LlamaIndex (GPT Index) frameworks.
12. Maintain clear and up-to-date documentation of code, experiments, and processes.
13. Participate in Agile practices, including sprint planning, stand-ups, and retrospectives.
14. Demonstrate basic debugging and troubleshooting skills using Python tools and log analysis.
15. Handle simple data manipulation tasks involving CSV, JSON, or similar formats.
16. Follow secure coding best practices and be mindful of data privacy and compliance.
17. Exhibit strong communication skills, a proactive learning mindset, and openness to feedback.
Number of Openings
5 openingsPerks of this Internship
Certificate 5 days a week
Other Requirements
1. are available for full time (in-office) internship
2. have relevant skills and interests
3. can start the internship between 26th Sep'25 and 31st Oct'25
4. are available for duration of 3 months
5. have already graduated or are currently in any year of study
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