Junior/Mid Fullstack Developer (.NET + React)

Junior/Mid Fullstack Developer (.NET + React)
We are looking for a Junior/Mid Fullstack Developer (.NET + React) for our client developing modern business applications with a growing focus on AI-enabled features. The role is suitable for a developer with solid .NET and React foundations who is interested in practical use of AI in software development, including LLM-based features, RAG, AI-in-the-loop workflows, and reusable AI-assisted processes.
Responsibilities
– As a Junior/Mid Fullstack Developer, you will be developing and maintaining web applications using .NET/C# on the backend and React on the frontend;
– You will be implementing new application features, APIs, UI components, and integrations, ensuring clean and maintainable code;
– You will be supporting the development of AI-enabled features, such as assistants, document-based Q&A, summaries, analysis, or workflow automation;
– You will be working with LLM-based tools and APIs, helping integrate AI capabilities into business applications;
– You will be supporting simple RAG or knowledge-based solutions, where AI generates answers based on provided documents, data, or context;
– You will be helping create reusable AI workflows, prompts, or “skills” for repeatable business tasks;
– You will be collaborating with developers, product stakeholders, and business users to translate requirements into working software solutions;
– You will be testing, validating, and improving application features, including AI-generated outputs where relevant;
– You will be using modern development tools, including AI-assisted tools, to support coding, debugging, documentation, and research.
Requirements
– Commercial or strong project experience with C#/.NET, enabling backend development of business applications;
– Experience with React and JavaScript or TypeScript, enabling development of modern frontend interfaces;
– Good understanding of REST APIs, databases, application integrations, and basic software architecture;
– Practical interest or initial experience in building AI-enabled application features using LLMs or similar tools;
– Basic understanding of RAG, AI-in-the-loop, prompts, and the use of external knowledge or documents in AI-based features;
– Awareness of common AI-related risks, such as hallucinations, data privacy, security, and the need to validate AI-generated outputs;
– Experience using AI tools in the software development process, such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar tools;
– Willingness to learn, experiment, and work with new AI-related technologies and approaches;
– Strong communication skills, enabling effective collaboration with technical and non-technical stakeholders;
– Good command of English, enabling clear communication in an international environment.
Nice to have
– Experience with OpenAI, Azure OpenAI, Claude, Semantic Kernel, LangChain, or similar tools;
– Experience with vector search, knowledge-base search, document processing, or AI assistants;
– Experience building chatbots, document Q&A tools, automation workflows, or AI-supported business features;
– Own AI-related project, demo, GitHub repository, or portfolio showing practical use of AI in software development.