Core Data: AI Enablement Engineer - Manager
Tasks
- Build AI agent APIs with FastAPI
- Build RAG pipelines
- Collaborate with cross-functional teams on AI use cases
- Design prompt engineering strategies
- Develop AI agent pipelines
- Ensure responsible AI compliance
- Integrate AI agents with Azure Blob Storage
- Integrate AI agents with PostgreSQL
- Integrate AI agents with REST APIs
- Integrate AI agents with Snowflake
- Optimize agent pipelines for Azure
- Track version manage MLflow experiments
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
AI Search | Azure | Azure AI | Azure AI Search | Azure Blob | Azure Blob Storage | Azure OpenAI | Azure OpenAI Service | Blob Storage | Chain-of-Thought | Chroma | Document ingestion | Embeddings | Faiss | FastAPI | Few-Shot Learning | Few-shot | Generative AI | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | MLflow | OpenAI Service | PostgreSQL | Prompt engineering | Python | REST APIs | Ragas | React | Retrieval-Augmented Generation | SSE Streaming | Semantic Search | Snowflake | Structured Output | Tool-Calling | Vector Databases | Vector Search
Education
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