Job Title: .Net Full Stack Engineer (Gen AI)

Job Location: Kharadi, Pune

Work Type: Hybrid (3 WFO + 2 Days WFH)

Years of Experience: 8+ Years of relevant work experience.

Mission

Design and deliver secure, scalable, cloud‑native AI web applications by combining modern full‑stack engineering with Generative AI and Azure services enabling reliable, high‑performance digital solutions for enterprise use

KEY EXPECTED ACHIEVEMENTS

Frontend Development:

Build responsive, high‑performance, and maintainable user interfaces using React (TypeScript), HTML5, CSS3, and Fluent UI React.
Ensure cross‑browser compatibility and optimal user experience.

Backend Developed:

Design and develop secure, efficient backend APIs and microservices using .NET 8.0 (C#) and Python.
Design RESTful APIs with Swagger/Open API documentation.
Integrate and manage Kafka pipelines for real‑time data streaming and asynchronous communication.

AI / LLM Integration:

Design and implement prompt engineering strategies for Azure OpenAI and other LLM services.
Build conversational AI and chat‑based applications.
Optimize prompts for accuracy, context handling, and token efficiency.
Implement RAG (Retrieval Augmented Generation) patterns for context‑aware AI responses.

Cloud & Infrastructure:

Containerize and orchestrate applications using Docker and Azure Kubernetes Service (AKS).
Provision and manage infrastructure using Terraform (IaC)
Implement authentication and authorization using Azure AD and Managed Identities.

Azure Services Integration:

Design and integrate Azure services including Azure OpenAI, Azure AI Search (Vector DB), API Management, App Services, Application Gateway, Storage Accounts, Virtual Networks, Key Vault, and Static Web Apps.

Database Management:

Design and optimize MongoDB data mode Is.
Manage indexing strategies and query performance for structured and unstructured data.

DevOps & CI/CD:

Implement and maintain Azure DevOps CI/CD pipelines.
Manage source code using Git and standard branching strategies.
Ensure automated builds, testing, and deployments.

Monitoring & Quality:

Implement observability using Azure Application Insights and Log Analytics.
Ensure code quality, scalability, security, and performance best practices.
Conduct code reviews and enforce coding standards.

Collaboration & Leadership:

Collaborate with AI engineers, DevOps, UX/UI designers, and Product Managers.
Mentor junior developers and contribute to technical decision‑making.

Michelin

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