Python Intern

Role Overview: As a Python Developer Intern at Arcitech AI, you will play a crucial role in the company's software development, AI, and integrative solutions. This entry-level position offers the opportunity to work on cutting-edge projects, collaborate with a dynamic team, and contribute to the growth of the company. Your main responsibility will involve developing Python applications and optimizing code performance, providing you with valuable industry experience. Key Responsibilities: - Assist in designing, developing, and maintaining Python applications focused on backend and AI/ML components under senior engineer guidance. - Help build and consume RESTful or GraphQL APIs integrating AI models and backend services following best practices. - Containerize microservices (including AI workloads) using Docker and support Kubernetes deployment and management tasks. - Implement and monitor background jobs with Celery, including retries and basic alerting. - Set up simple WebSocket consumers using Django Channels for real-time AI-driven and backend features. - Aid in configuring AWS cloud infrastructure as code, assist with backups, monitoring via CloudWatch, and support AI workload deployments. - Write unit and integration tests to maintain 80% coverage across backend and AI codebases. - Follow Git branching strategies, contribute to CI/CD pipeline maintenance, and automation for backend and AI services. - Participate actively in daily tech talks, knowledge-sharing sessions, code reviews, and team collaboration. - Assist with implementing AI agent workflows and document retrieval pipelines using LangChain and LlamaIndex frameworks. - Maintain clear and up-to-date documentation of code, experiments, and processes. - Participate in Agile practices including sprint planning, stand-ups, and retrospectives. - Demonstrate basic debugging and troubleshooting skills using Python tools and log analysis. - Handle simple data manipulation tasks involving CSV, JSON, or similar formats. - Follow secure coding best practices and be mindful of data privacy and compliance. - Exhibit strong communication skills, a proactive learning mindset, and openness to feedback. Qualifications Required: - Currently pursuing a Bachelors degree in Computer Science, Engineering, Data Science, or related scientific fields. - Solid foundation in Python programming with familiarity in common libraries (NumPy, pandas, etc.). - Basic understanding of RESTful/GraphQL API design and consumption. - Exposure to Docker and at least one cloud platform (AWS preferred). - Experience or willingness to learn test-driven development using pytest or unittest. - Comfortable with Git workflows and CI/CD tools. - Strong problem-solving aptitude and effective communication skills.,