Junior Full Stack Web Developer ( AI )

* 1 - 2 years of hands-on coding experience (academic or personal projects welcome).
* Good grasp of C#, .NET, and object-oriented principles.
* Familiarity with ASP.NET MVC, Razor syntax, and Web APIs.
* Basic knowledge of SQL databases and version control (Git).
* Curious to explore new technologies and a team-first attitude
* Familiarity with version control (Git), and an interest in learning Kubernetes and CI/CD pipelines (e.g. ArgoCD, GitLab)
* Comfortable working alongside AI coding assistants, and developing judgement on when to rely on, verify, or override their output

Responsibilities

* Build and enhance web applications using C#, .NET (Framework/Core), and ASP.NET.
* Design interactive interfaces with Razor Pages, HTML, CSS, JavaScript, jQuery, and Handlebars.js.
* Collaborate with senior developers to implement new features and improve existing ones.
* Ensure code quality through clean, efficient, and maintainable practices.
* Work with databases like SQL Server to support application functionality.
* Write clean, maintainable code and help build scalable and secure applications.
* Build and maintain RESTful APIs for internal systems under supervision.
* Use AI coding assistants (e.g. Claude, GitLab Duo) to help write, review, and debug code, while learning to verify quality and correctness.
* Support the integration of LLM and AI capabilities into product features, such as retrieval-augmented generation (RAG) and API/MCP-based integrations.
* Contribute actively in Agile ceremonies and team discussions.
* Document technical specifications, processes, and changes.
* Debug and resolve technical issues in existing applications.
* Continuously learn and adapt to new frameworks, tools, and best practices.

Qualification

* Strong problem-solving and analytical mindset.
* Effective communication and collaboration skills.
* High attention to detail and commitment to delivering quality work.
* Enthusiasm for continuous learning and professional growth.

It's great if you have one or more of the following

* Some exposure to LLM APIs (e.g. Anthropic Claude, OpenAI), including basic prompt design.
* Awareness of agentic patterns, RAG pipelines, vector stores, or the Model Context Protocol (MCP).
* Familiarity with cloud services like RDS, RabbitMQ, API Gateway, or DynamoDB.
* Containerisation and Git workflows (e.g. Docker).