Lead II - Software Engineering - Dot Net with AI

We are seeking a .NET Developer with AI/ML exposure to design, develop, and integrate intelligent applications. The role involves building scalable backend systems using .NET technologies while leveraging AI/ML and GenAI capabilities to enhance business outcomes.

Key Responsibilities

• Design, develop, and maintain applications using .NET Core / .NET Framework and C
• Build and consume RESTful APIs and microservices
• Integrate AI/ML models or GenAI services into enterprise applications
• Develop data-driven solutions using SQL Server and cloud-native architectures
• Work with Azure AI / OpenAI services for intelligent automation and insights
• Collaborate with product owners, architects, and business teams for solution delivery
• Ensure performance, scalability, and security best practices
• Participate in code reviews, testing, and CI/CD practices
• Support deployment, monitoring, and troubleshooting in Azure environments

Required Skills

Core .NET Engineering

• Strong experience in C, .NET Core / ASP.NET
• Hands-on with Web APIs, Entity Framework, MVC
• Experience with SQL Server (design, optimization, queries)
• Understanding of design patterns and SOLID principles
• Experience working in Agile/Scrum environments

Cloud DevOps

• Experience with Microsoft Azure (App Services, Functions, Storage, Azure SQL)
• Exposure to CI/CD pipelines (Azure DevOps / GitHub Actions)
• Knowledge of Docker / Kubernetes (preferred)

AI / ML / GenAI Skills

• Basic to intermediate knowledge of:
• Machine Learning concepts (classification, NLP, etc.)
• Generative AI / LLMs (Azure OpenAI, GPT models)
• Prompt engineering API integration
• Experience integrating AI with applications via:
• REST APIs / SDKs
• Python services (optional but preferred)
• Understanding of data pipelines and model consumption

Preferred Skills

• Frontend experience: Angular / React
• Experience with:
• Microservices architecture
• Event-driven systems
• Authentication frameworks (OAuth, Azure AD)
• Exposure to RAG, embeddings, or AI-based automation solutions

Experience

• Mid-level: 4-8 years of overall experience
• At least 1-2 years exposure to AI/ML or GenAI use cases