Senior Technical Lead

About the role

Experience delivering enterprise AI, or GenAI solutions into production environments. Experience building REST APIs, microservices and implementing cloud-native applications. Experience building containerized applications using Docker and Kubernetes technologies. BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical discipline.

What you'll do

• Experience delivering enterprise AI, or GenAI solutions into production environments
• Hands-on expertise to develop and deploy applications on Azure, including services such as App Service, Azure Functions, Container Apps, Azure AI Foundry , AKS, Storage
• Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns
• Experience building REST APIs, microservices and implementing cloud-native applications
• Experience building containerized applications using Docker and Kubernetes technologies

What you need

• 10–18 yrs of experience
• REST APIs
• Python
• Microservices
• Docker
• Kubernetes
• LLMs
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Machine learning
• Azure