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AI/ML/Gen AI Engineer
AI/ML/Gen AI Engineer
As an AI/ML/Gen AI Engineer, you will be responsible for implementing cloud-native AI solutions in Microsoft Azure, building and managing agent orchestration services, and deploying LLM integrations. You will also design custom Document Intelligence Models and implement RAG pipelines, ensuring secure APIs and data management.
About the role
Key Responsibilities
- Implement cloud-native AI solutions in Microsoft Azure.
- Build and manage agent orchestration services (multi-agent workflows, tool invocation, state management).
- Knowledge in MCP, A2A and other new protocols.
- Deploy and manage LLM integrations (Azure OpenAI, embeddings, fine-tuned models).
- Design & Deploy Custom Document Intelligence Models.
- Implement RAG pipelines using Azure AI Search, vector databases, and storage.
- Design secure APIs, authentication, authorization, and secrets management.
Required Skills & Experience
- Deep expertise in Azure (Functions, App Services, Document Intelligence, AI Search, Open AI Foundry).
- Strong understanding of LLMs, embeddings, RAG, agentic architectures.
- OCR Tools (Azure Doc Intelligence / John Snow Labs).
- High Proficiency in Python.
- Working experience with LangGraph.
Good to Have
- Experience with infrastructure-as-code (Bicep, Terraform).
- Knowledge on compliance and data governance for AI systems.
- Prompt Engineering.
Skills
Microsoft AzureLlmAzure OpenaiAzure AI SearchVector DatabasesapiAzure FunctionsAzure App ServicesAzure Document IntelligenceOpen AI FoundryEmbeddingsRagagentic architecturesOCR ToolsJohn Snow LabsPythonLanggraphBicepTerraformPrompt EngineeringMcpA2A