Main responsibilities

• Design, develop, and maintain high-performance .NET applications (C#, .NET Core / .NET 6+)
• Architect and implement AI-enhanced features, including automation, recommendations, and AI/ML service integrations (Azure AI, OpenAI, Cognitive Services)
• Build and consume RESTful APIs and event-driven services interacting with AI models
• Contribute to system architecture, scalability, and AI-readiness
• Write clean, maintainable, well-tested code following modern engineering and AI-safe practices
• Lead code reviews, testing, documentation, and AI governance
• Collaborate with cross-functional teams to translate business needs into technical and AI solutions
• Optimize application performance, reliability, security, and AI workloads
• Troubleshoot full-stack and cloud/AI integration issues
• Mentor developers and upskill teams in AI-aware development
• Stay current on .NET, cloud, and AI technologies, recommending improvements and innovations

Requirements

Backend & Architecture

• 5+ years of experience in .NET development using C#, ASP.NET Core, and RESTful APIs.
• Strong knowledge of software design principles, including architecture patterns, SOLID principles, and clean code practices.
• Experience with SQL Server and relational databases.
• Experience designing and developing scalable, modular applications and services.
• Strong analytical, problem-solving, and communication skills.

Frontend Development

• 3+ years of professional experience with React and TypeScript for building modern, scalable web applications.
• Deep knowledge of JavaScript (ES6+), HTML5, and CSS3, including responsive design and modern layout techniques (Flexbox, Grid).
• Experience designing modular, reusable React components and scalable frontend architecture.
• Solid understanding of state management patterns (Redux Toolkit, Context API).
• Experience integrating RESTful APIs and implementing authentication flows (e.g., JWT).
• Familiarity with modern frontend build tools and package managers (npm/yarn, Vite/Webpack).
• Understanding of React performance optimization techniques.
• Knowledge of web security and accessibility best practices.

Cloud, AI & Integration

• Experience with cloud platforms, preferably Microsoft Azure.
• Experience integrating AI/ML capabilities into applications (e.g., Azure OpenAI, Cognitive Services, prompt engineering, AI-assisted automation).
• Familiarity with AI/ML platforms and frameworks such as Azure ML, Semantic Kernel, LangChain, or ML.NET.
• Understanding of AI security, data privacy, and responsible AI principles.

DevOps & Development Practices

• Experience with CI/CD pipelines, DevOps practices, and Git workflows.
• Experience working in agile development environments and cross-functional teams.

Nice to Have

• Experience with Next.js.
• Experience with component libraries such as Material UI or Ant Design.
• Experience with end-to-end testing tools (Cypress or Playwright).
• Familiarity with design systems and collaboration tools such as Figma.
• Experience with microservices architecture.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience building AI-driven products in product-led, innovation-focused environments.
• Experience with frontend or full-stack frameworks such as Angular or Blazor.

About us

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