Senior Full Stack .NET AI Solutions Engineer

About the Role

We seek a seasoned Technical Lead or Solution Architect proficient in .NET, Python, and AI/Generative AI solution development. The selected professional will design scalable enterprise-grade applications, create REST APIs and microservices, and embed AI capabilities within business systems.

Key Responsibilities

• Architect and build enterprise applications leveraging .NET/C# and Python technologies.
• Develop scalable RESTful APIs, microservices, and backend services tailored for enterprise demands.
• Design and implement AI and Generative AI-powered business solutions.
• Work with large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and AI API integrations.
• Seamlessly integrate AI functionalities within current .NET/Python applications and enterprise ecosystems.
• Construct secure, scalable, and cloud-compatible application architectures.
• Provide technical guidance through solution design, development lifecycle phases, code reviews, and resolution of technical issues.
• Collaborate effectively with cross-functional teams including architecture, product, business, data, and engineering units.

Mandatory Skills and Experience (7 to 12 years)

• Proficient hands-on experience with C#, .NET Core or modern .NET frameworks, ASP.NET Core, Web API, microservices, dependency injection, and enterprise application development.
• Strong development skills using Python for backend services, API creation, AI integrations, data processing, and automation workflows.
• Demonstrated expertise in designing and deploying enterprise solutions based on Generative AI and LLM technology, converting business requirements into AI-driven solutions.
• Experience working with retrieval-augmented generation techniques, embeddings, vector search/vector databases, prompt engineering, and integrating LLM APIs.
• Familiarity with AI orchestration frameworks and tools such as LangChain, Semantic Kernel, or equivalents.
• Hands-on experience with cloud-based AI platforms, ideally Azure OpenAI, Azure AI Foundry, or comparable AWS or GCP services.
• Strong grasp of REST API design, microservices infrastructure, JSON, authentication/authorization mechanisms, and system integration patterns.
• Solid knowledge of SQL databases and exposure to NoSQL and vector databases relevant to modern AI solutions.
• Capability to produce both high-level and detailed technical designs, develop integration patterns, and create scalable architectures to meet enterprise needs.

Preferred Skills

• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience with continuous integration and continuous deployment (CI/CD) pipelines and version control with Git.
• Knowledge of Azure cloud services and cloud-native architectural principles.
• Exposure to AI agents, agentic workflows, AI security monitoring, and responsible AI development practices.
• Experience modernizing legacy .NET applications by embedding AI and Generative AI capabilities.

Additional Information

• Work locations include Bangalore, Hyderabad, Pune, Chennai, and Vadodara.
• Work schedule: 2 PM to 11 PM IST.
• Employment mode: Hybrid.
• Notice period: Immediate joining preferred or candidates with less than 30 days notice.