Agentic AI Data Engineer
Tasks
- Build Lakehouse architectures
- Build batch and real-time data pipelines
- Create data lakes and warehouses
- Deploy and optimize LLM inference
- Design agentic AI data workflows
- Develop APIs and microservices
- Develop LLM applications with RAG
- Implement data quality governance and security
- Integrate AWS AI and ML services
- Optimize cost and performance of cloud AI workloads
- Set up monitoring, logging, and observability
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS API | AWS API Gateway | AWS Glue | AWS Kinesis | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Bedrock | Amazon Redshift | Amazon S3 | Amazon SageMaker | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | CI/CD | Data Governance | Data Quality | Data Security | Delta Lake | Docker | ELT | ETL | Embeddings | Faiss | Inference Optimization | Kubernetes | Logging | Microservices | Model Deployment | Monitoring | Observability | OpenSearch | Pinecone | Prompt engineering | PySpark | Python | REST APIs | Retrieval-Augmented Generation | SQL | Step Functions | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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