Lead .NET Engineer with AI tools
We are looking for a Lead .NET AI Developer to drive the design and development of modern cloud-native applications powered by Generative AI technologies. This role combines deep expertise in the Microsoft ecosystem with hands-on experience building AI-enabled solutions and mentoring engineering teams.
You will lead the development of scalable ASP.NET services on Microsoft Azure, leverage AI-assisted engineering tools, and contribute to the delivery of innovative solutions that integrate GenAI capabilities into enterprise applications. While the primary focus is backend development, the ideal candidate should also be comfortable taking fullstack tasks using React or Angular.
Responsibilities
- Lead the design, development, and delivery of enterprise-grade applications using C# and .NET technologies
- Implement scalable ASP.NET Core and Web API solutions on Microsoft Azure
- Drive adoption of modern software engineering practices, including CI/CD, cloud-native architectures, and DevOps automation
- Develop and integrate Generative AI capabilities into business applications
- Collaborate with architects, product owners, and cross-functional engineering teams to define technical solutions
- Guide technical decisions, conduct code reviews, and mentor engineers
- Contribute to frontend development activities using React or Angular when required
- Build secure, resilient, and highly performant distributed systems
- Optimize development workflows through AI-assisted engineering practices utilizing GitHub Copilot, Cursor, and LLM-based solutions
Requirements
- Strong expertise in C# and .NET (.NET Core and .NET Framework)
- Hands-on experience with ASP.NET Core, Web API, and service-oriented architectures
- Proven experience developing applications on Microsoft Azure
- Experience building and managing Azure DevOps CI/CD pipelines
- Deep understanding of software design principles, testing practices, and modern development methodologies
- Practical experience using GitHub Copilot and/or Cursor as part of the software development lifecycle
- Hands-on experience developing Generative AI applications
- Understanding and practical application of the Model Context Protocol (MCP)
Benefits
CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
- Diversity of tasks and projects
- Assessment center for objective review of competency level
- Personal development plan
- Mentoring programs and leadership development
- Certification and professional development support
- Access to learning platforms including more than 2,500 internal courses
- English courses taught by certified teachers
CORPORATE BENEFITS
- Extra leave days
- Referral bonuses
COMPENSATION PACKAGE
- Competitive compensation paid in USD
- Regular salary and performance reviews
MEDICAL & HEALTHCARE
- Private health insurance
- Well-being events
WORKING ENVIRONMENT
- Recreation areas and kitchens
- Tea, coffee and snacks
- Sports equipment and game consoles
- IT Equipment
- Microsoft’s Software Assurance Home Use Program (HUP)