Software Engineering Intern .NET

We are seeking a passionate and motivated Software Engineering Intern who is eager to grow their expertise in building cloud-based applications—from developing front-end interfaces to modern backend services and microservice-based applications.

As a key member of our dynamic development team, you will help build innovative web applications and intelligent features powered by modern .NET Core, C#, React, AWS, and AI technologies. You will have opportunities to work on AI-enabled solutions, including Generative AI and Large Language Model (LLM)-based applications, while developing expertise across the full software development lifecycle.

The ideal candidate will possess strong programming fundamentals, a good understanding of SQL databases, and an interest in applying emerging AI technologies, including Generative AI and LLM-based capabilities, to modern software solutions.

In this role you will...
• Work closely with Development, QA, and Operations teams to ensure successful project delivery.
• Communicate effectively to understand project requirements and provide timely updates.
• Assist in designing, developing, and maintaining full-stack applications using .NET (Core/Framework), React.js, and SQL/NoSQL databases on the AWS cloud platform.
• Collaborate with senior engineers, product managers, and designers to understand requirements and implement solutions.
• Assist in developing and testing APIs and software components under the guidance of senior engineers.
• Write clean, maintainable, and scalable front-end and back-end code under guidance.
• Participate in agile ceremonies such as sprint planning and technical design reviews, and contribute ideas and feedback.
• Participate in code reviews, unit testing, and software deployment activities.
• Assist in monitoring, debugging, and improving application performance, security, and reliability.
• Assist in troubleshooting application issues and contribute to root cause analysis under the guidance of senior engineers.
• Collaborate with cross-functional teams including engineering, product, IT security, and release management.
• Assist in the development and integration of AI-powered features and intelligent user experiences using modern AI technologies and services.
• Stay updated on emerging trends in .NET, front-end technologies, cloud computing, and AI.

You’ve got what it takes if you have...
• Basic programming knowledge in Java, Python, C#, or another object-oriented programming language.
• Good understanding of relational databases and SQL, including database design fundamentals, query writing, stored procedures, and data modeling.
• Strong understanding of object-oriented programming (OOP) principles; familiarity with design principles such as SOLID and KISS is a plus.
• Knowledge of React.js and modern front-end technologies (HTML, CSS, JavaScript/TypeScript).
• Understanding of software development concepts and application architecture principles.
• Familiarity with version control systems such as Git and Bitbucket is a plus.
• Familiarity with NoSQL databases is a plus.
• Awareness of application performance concepts and optimization techniques.
• Understanding of secure coding practices.
• Familiarity with software design patterns and their practical application.
• Strong analytical, quantitative, and problem-solving abilities.
• Excellent interpersonal, written, and verbal communication skills.
• Foundational knowledge of Artificial Intelligence (AI), Generative AI, and Large Language Models (LLMs), including prompt engineering and practical AI applications in modern software development.
• Collaborative mindset and eagerness to learn new technologies and grow within both AI and full-stack engineering domains.

Preferred Qualifications
• Internship, academic project, or personal project experience with React, .NET, or web application development.
• Hands-on experience with Python and AI-based applications.
• Familiarity with AI services and frameworks such as Azure OpenAI, AWS Bedrock, LangChain, Semantic Kernel, or similar technologies.
• Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with testing frameworks such as NUnit or xUnit.
• Exposure to AWS cloud services and cloud-native application development.
• Experience analyzing and troubleshooting functional and technical issues through academic, internship, or personal projects.
• Exposure to Agile development methodologies.
• Familiarity with AWS services such as Lambda, S3, ECS, API Gateway, and related cloud-native services.
• Interest in user experience (UX), accessibility, and responsive web design.
• Experience integrating AI/LLM capabilities into applications is a plus.