Quick overview
Job description
As an AI/ML Engineer , you will design and deliver production-ready Generative AI and Agentic AI solutions on Azure, covering RAG, intelligent document processing, AI orchestration, evaluation, and LLMOps/MLOps.
Key responsibilities
- Build LLM and Agentic AI solutions using Azure OpenAI and Azure AI Foundry .
- Develop RAG solutions using Azure AI Search, embeddings, vector search, and semantic retrieval .
- Apply prompt engineering, context engineering, and AI workflow orchestration to improve solution quality and reliability.
- Build document-processing and ingestion pipelines using Document Intelligence, OCR, knowledge graphs, and structured data extraction .
- Implement AI evaluation , including golden dataset validation, quality testing, bias testing, and explainability.
- Operationalise AI solutions using LLMOps/MLOps , monitoring, versioning, deployment, and continuous improvement practices.
Essential skills
- Strong hands-on experience with Azure OpenAI, Azure AI Foundry, LLMs, and Agentic AI architectures .
- Experience building RAG pipelines with Azure AI Search, embeddings, vector and semantic search .
- Strong knowledge of prompt/context engineering and AI workflow orchestration .
- Experience with Document Intelligence, OCR, data extraction, ingestion pipelines, and knowledge graphs .
- Experience defining and executing AI evaluation frameworks , including golden datasets, bias testing, explainability, and response-quality validation.
- Good understanding of LLMOps/MLOps , production deployment, monitoring, governance, and AI lifecycle management.
- Experience with enterprise-grade AI security, governance, observability, and responsible AI practices.
- Experience with multi-agent orchestration and reusable AI engineering patterns.
- Relevant Azure AI or Machine Learning certifications .
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