design, develop, and deploy full-stack GenAI applications using modern cloud and AI technologies
collaborate with cross-functional teams
leverage AI-assisted development tools to accelerate delivery and innovation
develop and maintain GenAI-powered applications using Azure AI Foundry, Azure Container Apps, Azure AI Search, and Azure Databricks
integrate multi-cloud GenAI capabilities (AWS Bedrock, Google Vertex AI) as needed
build scalable full-stack solutions with Next.js, Streamlit, FastAPI, Radix UI, Tailwind CSS, Zustand, and related frameworks
implement secure authentication and authorization using Azure AD & MSAL
design and optimize data pipelines with Databricks Serverless SQL, SQL Server, and Azure Cosmos DB
develop intelligent retrieval systems using Azure AI Search
manage APIs and microservices with Azure APIM and FastAPI
ensure security, observability, and cost-efficiency using Azure Monitor, Log Analytics, Azure Key Vault, and Azure Cost Management
apply best practices for AI model deployment, scaling, and monitoring
mentor junior engineers and share knowledge across the team

5+ years of experience in software engineering
1+ years in GenAI or LLM-based application development
Bachelor’s degree in Computer Science, Engineering, or related field
Proven hands-on expertise in full-stack development and Azure cloud services
Experience with enterprise identity management and secure coding practices
Familiarity with GenAI architectures (including RAG) and multi-cloud platforms
Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot Studio)
Strong coding skills in Python, JavaScript/TypeScript, and modern frameworks
Knowledge of cloud platforms (AWS, Azure, Google Cloud) and integration services
Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment
Effective communication skills for presenting solutions to technical and non-technical stakeholders.

Lead, GenAI Engineer

Key skills