Intern

Overview

Software Engineer Intern on the Product Engineering team, contributing to AI-powered enterprise applications by building, testing and optimizing scalable software alongside experienced architects, developers and quality engineers.

What you'll do

• Design, develop, test and maintain software components using Python and modern development frameworks.
• Build, consume and validate REST APIs and integrations across enterprise applications.
• Develop AI-powered solutions leveraging Large Language Models (LLMs), Agentic AI, Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Contribute to backend services development using FastAPI and microservices architecture.
• Design and implement automated test frameworks for functional, integration, API and end-to-end testing.
• Create reusable automation scripts to improve product quality, reliability and performance.
• Execute test plans including functional, regression, integration and performance testing.
• Analyze defects, identify root causes and collaborate with development teams on resolutions.
• Work with structured and unstructured data to implement business rules and validation logic.
• Participate in code reviews, debugging, performance optimization and technical documentation.
• Collaborate with Product Managers, Architects, Developers and QA teams across global locations.
• Explore emerging AI technologies and apply innovative solutions to real-world business challenges.

What you'll need

• Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, Computer Applications or related technical disciplines.
• Strong analytical, problem-solving and debugging skills.
• Excellent verbal and written communication skills.
• Ability to work effectively in a collaborative Agile environment.
• Passion for software engineering, automation, artificial intelligence and emerging technologies.
• Strong proficiency in Python (mandatory).
• Knowledge of Object-Oriented Programming (OOP), Data Structures and Algorithms.
• REST API development and testing; HTTP, REST and API integration concepts.
• JSON and XML data formats.
• Experience with Postman or similar API testing tools.
• Strong SQL skills; experience with PostgreSQL, SQL Server, Snowflake or other relational databases; ability to write complex queries and validate data across systems.
• Understanding of software testing methodologies with exposure to functional, API, integration, end-to-end, performance and backend testing.
• Knowledge of test automation frameworks and automation best practices.
• Knowledge or coursework in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI Agents and Multi-Agent Systems.
• Exposure to tools such as LangChain, LangGraph, OpenAI / Azure OpenAI or AWS Bedrock.
• Understanding of cloud platforms such as AWS or Microsoft Azure; basic knowledge of cloud-native application development.
• Familiarity with GitHub or GitLab, Agile/Scrum methodologies, CI/CD concepts and Jira.

Nice to have

• Basic understanding of Java.
• FastAPI and Backend Development.
• Microservices Architecture.
• Knowledge Graphs and Ontologies.
• Machine Learning fundamentals.
• Docker and Containerization.
• Semantic Search and Information Retrieval.
• Data Engineering concepts.
• Master Data Management (MDM) and Data Governance.
• API-led connectivity and enterprise integration concepts.
• Certifications: Python Programming, Microsoft Azure AI Fundamentals (AI-900), AWS Cloud Practitioner, AWS AI Practitioner, Generative AI / LLM certifications, LangChain or Agentic AI certifications.

Details

• Location: Bangalore, India.
• Internship role.