Software & AI Engineering intern

Software & AI Engineer Intern Internship Job Description Role Summary The Software & AI Engineer Intern will contribute to software systems that transform industrial data into applications, analytics, diagnostics, predictions, and actionable engineering information. Key Responsibilities

• Build or improve frontend features and user interfaces under guidance.
• Develop backend services, APIs, and application logic for assigned modules.
• Work with PostgreSQL, time-series data, caching, and basic data pipelines as required.
• Support ingestion and processing of real-time and historical industrial data.
• Write clean, modular code and basic unit/integration tests.
• Use Git and participate in normal development, review, testing, and deployment workflows.
• Assist with Docker, CI/CD, logging, monitoring, and cloud deployment tasks where applicable.
• Build dashboards, metrics, analytics, or data-processing features for industrial applications.
• Contribute to ML/AI tasks such as anomaly detection, predictive maintenance, time-series analysis, RAG, or LLM workflows depending on project requirements.
• Document APIs, modules, workflows, and important implementation decisions. Preferred Knowledge
• Python and/or TypeScript/JavaScript
• React/Next.js or similar frontend fundamentals
• Node.js/NestJS or similar backend fundamentals
• SQL and database basics
• Git and software-engineering fundamentals
• Interest in Docker, cloud, ML, time-series analytics, or LLM systems is beneficial Qualification Students or recent graduates pursuing/completing B.E./B.Tech in Computer Science, IT, AI/ML, Data Science, Electronics, or a related field. What the Intern Will Learn Production software practices, industrial data systems, APIs, databases, cloud workflows, analytics, ML/AI applications, and cross-functional engineering. How We Work at OSWAR/teck We expect every team member, including interns, to learn and demonstrate:
• Ownership over activity
• Solutions over excuses
• Evidence over assumptions
• Execution over intention
• Systems over dependency
• Speed with engineering discipline
• First-principles thinking
• Continuous improvement Bring problems with proposed solutions. Communicate clearly. Document what you build. Challenge unnecessary complexity. Understand the fundamentals. Build things that work in the real world.