Senior Gen AI Engineer
Role details
Job location
Tech stack
Job description
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Design and develop Generative AI solutions using Azure OpenAI Service, including prompt engineering, embeddings, and model orchestration for enterprise use cases.
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Build Retrieval-Augmented Generation (RAG) pipelines by integrating Azure AI Search, vector databases, and structured/unstructured enterprise data sources.
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Develop scalable APIs and microservices for GenAI applications using Python/ Fast API or Java-based services deployed on Azure PaaS
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Implement Responsible AI controls, including content moderation, prompt/output filtering using Azure AI Content Safety
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Orchestrate end-to-end GenAI workflows leveraging Azure AI Foundry/Projects, integrating tools, functions, and agent-based reasoning 6.Deploy and manage GenAI workloads on Azure using secure networking, RBAC, Key Vault, and enterprise security standards
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Monitor and evaluate model performance using Azure Monitor, Application Insights, and GenAI evaluation metrics
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Optimize prompt and model usage for performance, latency, and cost efficiency across development and production environments
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Collaborate with business and data teams to translate requirements into GenAI-enabled solutions aligned to enterprise governance and compliance
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Support CI/CD and MLOps pipelines for GenAI applications, ensuring versioning, testing, traceability, and controlled releases on Azure
Requirements
Do you have experience in Python?