AI Data Engineering
Tasks
- Build production Python services
- Design and build REST APIs
- Develop RAG retrieval systems
- Evaluate and validate LLM output quality
- Ground answers in retrieved sources
- Implement API Gateway integration
- Implement RAG data ingestion pipelines
- Manage vector database and similarity search
- Orchestrate LLM workflows
- Set up CI/CD pipelines
- Use infrastructure as code
- Write unit and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | API Gateway | API Versioning | AWS | Asyncio | Authentication | Automated testing | Azure OpenAI | CI/CD | Embeddings | FastAPI | GitHub Actions | Infrastructure as Code | Langchain | Langfuse | Llamaindex | Milvus | PGVector | Pinecone | Pydantic | Pytest | Python | Qdrant | REST APIs | Retrieval-Augmented Generation | Similarity Search | Terraform | Vector Databases | Weaviate | “as-code”
Education
N/A
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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