Senior .NET Engineer with AI

Technologies we use

About the project

Your responsibilities

• Design, develop, test, and maintain web-based applications, services, and APIs using .NET technologies (C#, ASP.NET Core, etc.)
• Collaborate with Product Managers, Designers, and other Engineers to define application requirements and architecture
• Deploy, integrate, and monitor software on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Implement cloud-native principles, leveraging technologies like serverless computing, containers (Docker, Kubernetes), and cloud storage solutions
• Integrate and leverage AI technologies in real-world projects
• Evaluate, select, and implement AI models and frameworks beyond basic tool usage
• Identify opportunities to apply AI for process automation, analytics, or product enhancement
• Explain AI concepts and workflows to both technical and non-technical stakeholders
• Ensure applications are secure, high-performing, and scalable by implementing best practices in security, performance optimization, and cloud architecture
• Troubleshoot and resolve technical issues across production and non-production environments
• Participate in code reviews to ensure code quality, reusability, and maintainability
• Automate CI/CD pipelines to streamline deployment processes and enable continuous delivery of new features
• Stay updated on the latest trends in .NET frameworks, cloud and AI technologies, and relevant development tools
• Mentor junior engineers and contribute to the technical knowledge base of the team

Our requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 5+ years of professional experience in software development using C# and .NET technologies (ASP.NET, ASP.NET Core)
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Strong understanding of cloud-native architectures and tools like Docker, Kubernetes, or serverless frameworks
• Demonstrated hands-on experience integrating and leveraging AI technologies in real-world projects
• Ability to evaluate, select, and implement AI models and frameworks beyond basic tool usage
• Strong understanding of AI/ML concepts such as model training, data preprocessing, and prompt engineering
• Proven track record of identifying opportunities to apply AI for process automation, analytics, or product enhancement
• Familiarity with limitations and best practices in AI adoption and deployment
• Capacity to explain AI concepts and workflows to both technical and non-technical stakeholders
• Proficiency with relational and non-relational databases such as SQL Server, PostgreSQL, MongoDB, or DynamoDB
• Hands-on experience with RESTful API design and development
• Familiarity with CI/CD pipelines and tools such as Azure DevOps, Jenkins, or GitHub Actions
• Solid understanding of software development best practices, such as Agile methodologies, unit testing, and version control (Git)
• Excellent problem-solving and analytical skills with strong attention to detail
• Effective communication and collaboration skills in a team-oriented environment

Optional

• Experience with frontend technologies such as React or Angular

What we offer

This is how we work on a project

Development opportunities we offer

Benefits