- We are looking for an experienced AI Engineer to build and support the AI/LLMOps foundation on Azure. The role will focus on production AI infrastructure, data ingestion, document processing, retrieval, model integration, evaluation, tracing, and guardrails.

- Key Responsibilities
- Build and support LLMOps/MLOps infrastructure on Azure. Develop data ingestion and document-processing pipelines. Connect structured and unstructured enterprise data to the investment knowledge platform. Implement RAG-based solutions and retrieval pipelines. Integrate and manage LLMs using Azure AI and Azure OpenAI. Work on vector search and knowledge retrieval technologies. Implement AI evaluation, tracing, monitoring, and guardrails. Support production-grade AI infrastructure and deployments.
- Required
- Qualifications
- Strong hands-on experience with Microsoft Azure. Experience with LLMOps/MLOps and Generative AI.



Strong experience with RAG architectures. Experience building data ingestion pipelines. Experience with vector databases/search technologies. Experience integrating LLMs and AI services. Hands-on experience with Azure AI/Azure OpenAI. Strong Python development skills. Experience building production AI infrastructure.

- Valuable to Have
- Azure AI Search Azure Data Lake Microsoft Purview Snowflake GraphRAG / Knowledge Graphs PostgreSQL / pgvector

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer - LLMOps / AI Infrastructure (India)
🏢 Huemot Technology
📍 India