Azure AI Engineer
Pentland Brands (company site, opens in a new tab)1–3 yrsBengaluruHybridDirect career pageEst. 8–16 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, deploy, and maintain production-grade AI solutions such as intelligent agents and machine learning pipelines on Azure that address real business problems at scale.
- Manage ongoing support, defect resolution, deployment, and future enhancements of AI agent solutions and production APIs in the Azure environment.
- Provide operational support for Azure platform services (App Service, Azure SQL Database, Storage Accounts), including monitoring, root-cause analysis, and release process coordination.
Minimum Requirements
- 1-3 years of relevant experience in AI/ML engineering, Azure application development, or a closely related role.
- Strong proficiency in Python and experience with .NET/C# within the Azure ecosystem.
- Hands-on experience with large language models (prompt engineering, RAG architectures, embeddings, fine-tuning) and agent-building frameworks like Google ADK, LangChain, or LangGraph.
- Proficiency with Azure deployment, compute, storage, cloud-native AI/ML services, and SQL for data extraction and transformation.
Ideal Candidate Profile
- Operates effectively at the intersection of AI engineering and cloud platform operations, with strong ownership of deploying and supporting AI solutions at scale on Azure.
- Demonstrates applied experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and modern AI architectures involving vector databases and agent frameworks.
- Familiar with software engineering best practices including API development, CI/CD, containerization (Docker/Kubernetes), and collaborative workflows on Git, enabling delivery of maintainable, production-ready AI applications.