AI Engineer
Tasks
- Apply responsible AI principles
- Build enterprise copilots and virtual assistants
- Deploy solutions using Azure managed services
- Design AI data ingestion and transformation pipelines
- Design Generative AI applications
- Develop RAG solutions
- Ensure data quality, consistency, and traceability
- Ensure regulatory compliance
- Implement AI agent orchestration and automation
- Implement LLMOps MLOps and DevSecOps
- Implement knowledge indexing and vectorization
- Implement security and data protection controls
- Integrate AI services with enterprise applications
- Manage versions of prompts models and components
- Monitor performance accuracy cost and adoption
- Participate in architecture and technical quality reviews
Perks/Benefits
Skills/Tech-stack
.Net 8 | AI Document Intelligence | AI Foundry | AI SDK | AI Search | AI content safety | ASP.Net Core | Autogen | Azure AI | Azure AI Content Safety | Azure AI Document Intelligence | Azure AI Foundry | Azure AI Language | Azure AI Language Services | Azure AI SDK | Azure AI Search | Azure Cognitive | Azure Cognitive Services | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | C# | Cognitive Services | Content Safety | CrewAI | DevSecOps | Document Intelligence | FastAPI | JavaScript | LLMOps | Langchain | Langgraph | Language Services | MLOps | Machine Learning | OpenAI SDK | OpenAI Service | Python | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | TypeScript | Vectorization
Education
N/A
Roles
AI | AI Engineer | Engineer
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