Senior.NET Engineer with AI

Description

We are seeking a skilled Senior.NET Engineer with experience in Cloud and AI technologies to join a dynamic development team on a project for one of our key Clients. In this role, you will design, develop and maintain robust, scalable, and secure web applications and services using.NET, cloud and AI technologies. You will collaborate with cross-functional teams to deliver cutting-edge solutions that drive business goals and enhance user experience. This position requires a hybrid model, with 3 days per week working from the office in Wroclaw. 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 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 Nice to have Experience with frontend technologies such as React or Angular

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

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

Seniority

• Senior

Nice to have

• Experience with frontend technologies such as React or Angular