C#.Net Developer with AI

Role & responsibilities

Lead C# & .Net

• Location: Pune
• Experience: 09 14 Years

Impact you will realize: Job Responsibilities

• Technical Ownership – Owns delivery of features, modules, and technical outcomes for enterprise-grade Windows desktop applications using C# and WPF.
• Team Leadership – Mentors and coaches engineers through code reviews, design reviews, and technical guidance, raising overall team engineering maturity.
• Architecture Influence – Drives technical alignment across the team on MVVM, OOP, design patterns, unit testing, and WPF best practices.
• Delivery Excellence – Contributes to predictable delivery, engineering efficiency, and operational excellence within Agile environments (Scrum/Kanban).
• AI & Modernization – Drives responsible AI adoption and contributes to desktop engineering modernization, platform evolution, and technical innovation.

Key skills you will require

• Develop, maintain and enhance Windows desktop applications using C# and WPF.
• Knowledge of AI is must. The person should know, used, and preferably created agents for coding. Just vibe coding would not be sufficient.
• Own delivery of features, modules, and technical outcomes within a defined engineering area.
• Collaborate with cross-functional teams to define, design, implementation, testing, and release of enterprise-grade desktop applications
• Mentor and coach engineers through code reviews, design reviews, technical guidance, and continuous feedback
• Drive technical alignment across the team on MVVM, OOP, design patterns, unit testing, and WPF best practices.
• Collaborate effectively with Product Owners, QA, UX, architecture, and engineering stakeholders to define and deliver high-quality features
• Support planning, estimation, delivery tracking, risk management, and continuous improvement activities
• Contribute to desktop engineering modernization, platform evolution, and technical innovation initiatives.
• Contribute to predictable delivery, engineering efficiency, and operational excellence within Agile environments
• Drive responsible adoption of AI-assisted engineering practices across teams to improve productivity, quality, testing, documentation, onboarding, and delivery efficiency.

Qualifications You Must Require

• Bachelor’s/master’s degree in computer science or related field, with 09 -14 years of experience.
• Proven experience in developing Windows desktop applications using C# and WPF.
• Strong knowledge of object-oriented-programming (OOP) principles and design patterns.
• Experience with MVVM architecture and data binding in WPF.
• Familiarity with Visual Studio, Git and Agile methodologie•
• Excellent problem-solving skills, analytical and communication skills.
• Ability to work independently and in a team-oriented environment.
• Experience with graphics programming like DirectX or OpenGL would be plus.
• Experience working in an agile environment (SCRUM, Kanban, etc)
• Working knowledge of development toolchain i.e. Visual Studio, Git, Jira, Bitbucket, etc.
• Ability to mentor engineers and drive team-level engineering maturity.
• Strong communication, stakeholder management, problem-solving, and decision-making capabilities across cross-functional engineering environments.
• Ability to drive AI adoption across teams by identifying high-impact use cases and enabling responsible usage.
• Understanding of Agentic AI design for developer assistance, MCP concepts, multi-agent system design patterns, and responsible AI practices within software engineering workflows.