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.