Job Summary
Role 1
-
10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
- 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, Key Vault, API Management, or similar components
- Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
- Strong Python development skills.
- Experience building REST APIs, microservices and implementing cloud-native applications.
- Strong understanding of software architecture principles and design patterns.
- 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.
Key Responsibilities
Role 1
-
10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
- 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, Key Vault, API Management, or similar components
- Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
- Strong Python development skills.
- Experience building REST APIs, microservices and implementing cloud-native applications.
- Strong understanding of software architecture principles and design patterns.
- 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.
Skill Requirements
Role 1
-
10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
- 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, Key Vault, API Management, or similar components
- Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management,
and secure integration of AI capabilities into analytics and enterprise applications.
- Strong Python development skills.
- Experience building REST APIs, microservices and implementing cloud-native applications.
- Robust understanding of software architecture principles and design patterns.
- 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.
Must Have Skill
Gen AI,Python
Good to Have Skill
RESTAPI,AI Foundry
Other Requirements
Role 1
-
10+ years of experience in software/ cloud engineering, AI, data engineering, or application development. 3+ years serving as a lead developer on enterprise projects developing and delivering cloud-native applications and services.
- 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, Key Vault, API Management, or similar components
- Hands-on experience delivering GenAI solutions into production environments including prompt and RAG (retrieval-augmented generation) patterns, responsible AI controls & guardrails, AI orchestration, AI/ML model lifecycle management, and secure integration of AI capabilities into analytics and enterprise applications.
- Strong Python development skills.
- Experience building REST APIs, microservices and implementing cloud-native applications.
- Strong understanding of software architecture principles and design patterns.
- 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.
📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India