with hands-on experience in building advanced AI systems using modern agentic frameworks, vector-based search, and cloud-native architectures. The ideal candidate will have strong engineering fundamentals, deep understanding of AI pipelines, and expertise in deploying scalable solutions on Azure.
Key Responsibilities
Design, develop, and optimize AI/ML solutions leveraging agentic architectures and automated workflows.
Implement vector-based retrieval systems, embedding pipelines, and context engineering for AI applications.
Build and maintain prompt engineering frameworks and LLM-driven automation workflows.
Develop high-performance services using Python, Java, or Go.
Deploy and manage cloud-native AI services on
Azure
, ensuring reliability, scalability, and cost efficiency.
Integrate with various databases and storage systems including Azure AI Search, Redis, and Cosmos DB.
Architect and implement serverless and containerized solutions using
Azure Functions
and
Azure Container Apps
.
Collaborate cross-functionally with product, cloud, and data engineering teams to deliver end?to?end AI features.
Required Skills & Experience
Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
Artificial intelligence, Machine Learning, Azure, AI ML engineering, Python, Java, Agentic layer A2A framework
About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact--touching billions of lives in the process.
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