Senior .NET Software Engineer (AI, Cloud & Front-End)
We are looking for a Senior .NET Software Engineer who is passionate about building modern AI-powered applications and can contribute across the full technology stack.
In this role, you will design and develop scalable cloud-native solutions, integrate Generative AI capabilities into enterprise products, and collaborate with cross-functional teams to deliver high-quality user experiences. You will work on innovative projects leveraging modern Microsoft technologies, cloud platforms, and front-end frameworks.
Responsibilities
- Design, develop, and maintain enterprise-grade applications using .NET and C#
- Build and integrate AI-powered features leveraging LLMs, RAG architectures, AI agents, and related technologies
- Develop cloud-native solutions utilizing modern Azure services
- Contribute to front-end development using modern JavaScript frameworks
- Design and implement RESTful APIs and microservices architectures
- Collaborate with architects, product owners, designers, and AI engineers to deliver business value
- Ensure application scalability, security, maintainability, and performance
- Participate in technical design discussions, code reviews, and mentoring activities
Requirements
- 5+ years of experience in software development using .NET / C#
- Strong experience with ASP.NET Core and Microservices Architecture
- Hands-on experience with Generative AI solutions, including LLM integrations (OpenAI, Azure OpenAI, Copilot ecosystem, LangChain, Semantic Kernel, or similar)
- Experience designing and implementing RAG-based applications and AI-powered workflows
- Solid experience with cloud platforms, preferably Microsoft Azure
- Experience with services such as Azure Functions, App Services, Azure Kubernetes Service (AKS), Azure AI Services, Azure Storage, and Azure DevOps
- Experience with front-end technologies such as React, Angular, or TypeScript
- Strong understanding of API design and modern software architecture patterns
- Experience with CI/CD pipelines and DevOps practices
- Proficiency in English
Nice to have
- Experience with AI Agents and Agentic AI architectures
- Knowledge of vector databases and semantic search
- Experience with Kubernetes and containerized deployments
- Familiarity with Microsoft Copilot technologies
- Experience working in large-scale enterprise environments
