.NET Development - Internship

About the internship:Selected intern's day-to-day responsibilities include:

1. Assisting in the development of backend services, APIs, and business logic using C#, .NET Core, and ASP.NET Core

2. Building and supporting RESTful APIs, handling request/response flows, validations, and backend integrations

3. Using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Visual Studio, and VS Code to improve coding speed, testing, debugging, and documentation

4. Writing, refining, and troubleshooting SQL queries, stored procedures, functions, and database logic for SQL Server and PostgreSQL

5. Supporting the evaluation and integration of LLMs, AI tools, and agentic workflows into real-world software applications

6. Collaborating with the development team to translate product requirements into scalable backend solutions

7. Participating in code reviews, Git-based workflows, pull requests, and version control practices

8. Debugging backend, API, and data-related issues with a strong focus on performance, accuracy, and maintainability

9. Documenting APIs, technical decisions, AI integrations, and implementation workflows clearly for internal use

10. Contributing to the development of scalable, high-impact, user-facing applications that combine backend engineering with AI capabilitiesWho can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 28th Sep'26 and 2nd Nov'26are available for duration of 6 monthsare from Pune onlyhave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 10,000 - 20,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Informal dress codeSkills required:C#, .NET, SQL and Model View Controller(MVC)Other Requirements:1. Strong interest in .NET backend development along with practical use of AI tools in software engineering2. Good understanding of OOP concepts, C# fundamentals, ASP.NET Core, REST APIs, and relational databases3. Familiarity with prompt-driven development, AI coding assistants, and agentic coding workflows4. Ability to use AI tools productively while applying independent judgment to verify code quality, logic, and security5. Hands-on exposure to SQL Server or PostgreSQL6. Comfortable working in a Git-based team environment7. Strong analytical thinking, debugging ability, and attention to detail8. Candidates who have built projects using AI, LLMs, ML/NLP, or end-to-end applications with coding assistants will be preferred9. Exposure to AWS, Azure, or GCP will be an added advantage10. Candidates looking for a serious long-term career in backend and AI-powered product development will be strongly preferredAbout Company:AssetCues is an AI-powered asset management solution designed for the CFO's office to ensure that the asset register is continuously updated with real-time data on the existence, condition, location, and custody of physical assets. AssetCues is used by customers in verticals like pharmaceuticals, manufacturing, banking, and hospitality, among others. With offices in the US, UAE, and India and partners in other countries, Assetcues has a global reach.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Assisting in the development of backend services, APIs, and business logic using C#, .NET Core, and ASP.NET Core

2. Building and supporting RESTful APIs, handling request/response flows, validations, and backend integrations

3. Using AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, Visual Studio, and VS Code to improve coding speed, testing, debugging, and documentation

4. Writing, refining, and troubleshooting SQL queries, stored procedures, functions, and database logic for SQL Server and PostgreSQL

5. Supporting the evaluation and integration of LLMs, AI tools, and agentic workflows into real-world software applications

6. Collaborating with the development team to translate product requirements into scalable backend solutions

7. Participating in code reviews, Git-based workflows, pull requests, and version control practices

8. Debugging backend, API, and data-related issues with a strong focus on performance, accuracy, and maintainability

9. Documenting APIs, technical decisions, AI integrations, and implementation workflows clearly for internal use

10. Contributing to the development of scalable, high-impact, user-facing applications that combine backend engineering with AI capabilities